{"title":"Robot Arms","description":"\u003cp\u003eRobotic arms and manipulator systems for positioning, handling and development projects. Choose by reach, payload, degrees of freedom, repeatability and control interface. Check the included controller, mounting requirements and end-effector compatibility.\u003c\/p\u003e","products":[{"product_id":"so-arm101-low-cost-ai-arm-servo-motor-kit-pro-for-lerobot-without-3d-printed-parts","title":"SO-ARM101 Kifurushi cha Servo Motor ya Mkono wa Roboti Pro kwa LeRobot (Bila Sehemu Zilizochapishwa kwa 3D) – Chanzo Huria, Mihimili 6, UART, Kichunguzi cha 12-bit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\n\u003cp\u003eSO-ARM101 ni Kifaa cha Servo Motor cha Robot Arm Pro kilichoboreshwa kwa ajili ya kujifunza kwa kuiga na kuimarisha pamoja na miradi ya LeRobot na Hugging Face. Kifaa hiki cha chanzo wazi, chenye gharama nafuu kinajumuisha motors za servo, bodi za adapter, na nyaya kwa ajili ya mpangilio kamili wa mkono wa kiongozi–mfuasi. Kifaa hiki kinapatikana kwa urahisi kwa DIY na kimeundwa kwa ajili ya uundaji wa haraka wa prototypes kwa rasilimali nyingi. Muhimu: kifaa cha motor hakijumuishi sehemu zilizochapishwa kwa 3D; agiza mifupa iliyochapishwa kwa 3D pamoja ikiwa inahitajika. Seeed Studio inatoa vifaa kwa ajili ya LeRobot.\u003c\/p\u003e\n\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\n\u003ch3\u003eNi nini kipya katika SO-ARM101\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eUboreshaji wa wiring: hupunguza kutenganishwa kwa nyaya ambazo zilionekana hapo awali kwenye kiunganishi cha 3 na kuondoa mipaka ya mwendo.\u003c\/li\u003e\n\u003cli\u003eUboreshaji wa uwiano wa gia za mkono wa kiongozi: kuboresha utendaji bila gia za nje.\u003c\/li\u003e\n\u003cli\u003eUwezo mpya: mkono wa kiongozi unaweza kufuata mkono wa mfuasi kwa wakati halisi ili kusaidia sera za RL na uingiliaji wa binadamu.\u003c\/li\u003e\u003c\/ul\u003e\n\u003ch3\u003eVipengele vya SO-ARM10x series\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eSuluhisho la chanzo wazi na la gharama nafuu kutoka TheRobotStudio.\u003c\/li\u003e\n\u003cli\u003eUshirikiano na jukwaa la LeRobot (seti za data, mifano, zana za kujifunza kwa kuiga na kujifunza kwa nguvu zinazotegemea PyTorch).\u003c\/li\u003e\n\u003cli\u003eRasilimali kamili: mwongozo wa mkusanyiko, kalibrishaji, upimaji, ukusanyaji wa data, mafunzo, na mwongozo wa kutekeleza.\u003c\/li\u003e\n\u003cli\u003eInafaa na Nvidia reComputer Mini J4012 Orin NX 16 GB.\u003c\/li\u003e\n\u003cli\u003eRoboti za mikono 6-axis (kiongozi na mfuasi) zinaonyeshwa katika vifaa vya seti.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaelezo ya kiufundi\u003c\/h2\u003e\n\u003ctable style=\"width: 100.059%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eAina\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eSO-ARM101 Arm Kit Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eMotors za Kiongozi Arm (7.4V)\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e1× 1:345 uwiano wa gia (Kiungo No.2); 2× 1:191 (Kiungo No.1 \u0026na No.3); 3× 1:147 (Kiungo No.4, No.5 \u0026na No.6 gripper)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eMfuasi Arm\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eSawa na SO-ARM100 Pro\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eChanzo cha nguvu (DC 5.5mm*2.1mm)\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e12V2A kwa mkono wa kufuata; 5V4A kwa mkono wa kiongozi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eSensor ya pembe\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eEncoder ya magnetic ya bit 12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eJoto la kufanya kazi lililopendekezwa\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003e0℃～40℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eNjia ya mawasiliano\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003eUART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 32.934%;\"\u003eNjia ya kudhibiti\u003c\/td\u003e\n\u003ctd style=\"width: 66.7679%;\"\u003ePC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eUlinganisho\u003c\/h2\u003e\n\u003ctable class=\"p_2981_table\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" rowspan=\"1\" width=\"603.4\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM10\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ex\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eGharama ya chini\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eKifaa cha AI Arm Kit\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e\u003cspan\u003e \u003c\/span\u003ena Arm Kit Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eAina\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"243.8\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM100\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eSO-ARM101\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eArm Kit Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"137.13333333333333\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eKifaa cha Mkono\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eKifaa cha Mkono Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"3\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eKiongozi wa Mkono\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"4\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e12x (7.4V) 1:345 uwiano wa gia motors kwa viungo vyote\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"4\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e12x (12V) 1:345 uwiano wa gia motors kwa viungo vyote\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e1x (7.4V) 1:345 uwiano wa gia motor kwa kiungo cha No.2\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e2x (7.4V) 1:191 uwiano wa gia motors kwa viungo vya No.1 na No.3\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" rowspan=\"1\" width=\"272.26666666666665\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e3x (7.4V) 1:147 uwiano wa gia motors kwa viungo vya No.4, No.5 na gripper ya No.6\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eKidole cha Kufuatilia\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"137.13333333333333\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eKama SO-ARM100\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eKama SO-ARM100 Pro\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eChanzo cha Nguvu\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"115.06666666666666\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"128.73333333333332\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 1\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2V\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eA\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"2\" width=\"137.13333333333333\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 1\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003e2V2A Kwa Mkono wa Kufuatilia\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"135.13333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003e5.5mm*2.1mm DC 5V4A Kwa Kiongozi Arm\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eSensor ya pembe\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e12-bit encoder ya magnetic\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eInashauriwa Kufanya Kazi\u003cspan\u003e \u003c\/span\u003e\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eKiwango cha Joto\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003e0℃～40℃\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family='Inter, -apple-system, BlinkMacSystemFont, \"Segoe UI\", \"SF Pro SC\", \"SF Pro Display\", \"SF Pro Icons\", \"PingFang SC\", \"Hiragino Sans GB\", \"Microsoft YaHei\", \"Helvetica Neue\", Helvetica, Arial, sans-seri'\u003eNjia ya Mawasiliano\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003eUART\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"1\" rowspan=\"1\" width=\"87.33333333333333\"\u003e\n\u003cp\u003e\u003cspan data-font-family=\"default\"\u003eNjia ya Kudhibiti\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd colspan=\"4\" rowspan=\"1\" width=\"516.0666666666667\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan data-font-family=\"default\"\u003ePC\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eNini Kimejumuishwa\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:345 kiwango cha gia ×1\u003c\/li\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:191 kiwango cha gia ×2\u003c\/li\u003e\n\u003cli\u003e7.4v STS3215 Servo Motor 1:145 gear rate ×3\u003c\/li\u003e\n\u003cli\u003e12v STS3215 Servo Motor 1:345 gear rate ×6\u003c\/li\u003e\n\u003cli\u003eBodi ya Adaptasi ya Servo kwa Seeed Studio XIAO ×2\u003c\/li\u003e\n\u003cli\u003eStud ×8\u003c\/li\u003e\n\u003cli\u003eScrew ×8\u003c\/li\u003e\n\u003cli\u003e5V Kebuli ya Ugavi wa Nguvu (Kichwa Mbalimbali) × 1\u003c\/li\u003e\n\u003cli\u003e12V Kebuli ya Ugavi wa Nguvu (Kichwa Mbalimbali) ×1\u003c\/li\u003e\n\u003cli\u003eKebuli ya USB-C ×2\u003c\/li\u003e\n\u003cli\u003eKebuli ya DC Power Pigtail ×2\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaombi\u003c\/h2\u003e\n\u003cp\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/y9qTc0D-kL8?si=IYySmI4UuzjqBYjd\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eUjifunzaji wa nakala na ujifunzaji wa nguvu na LeRobot: mipango ya mwisho hadi mwisho kwa ukusanyaji wa data, mafunzo, simulation, na utekelezaji.\u003c\/li\u003e\n\u003cli\u003eUtekelezaji wa Nvidia Jetson edge: mafunzo bora ya kazi za kubeba na kuweka zilizobinafsishwa na reComputer J4012 Orin NX 16 GB.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaelezo\u003c\/h2\u003e\n\u003cp\u003e\u003cimg alt=\"SO-ARM101 Robot Arm, Open-source 6-axis robotic arm kit compatible with reComputer Mini J4012, supports LeRobot for learning, data collection, simulation, and training; includes QR access to GitHub, Wiki, and 3D printing files.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/SO-ARM101-Robot-Arm-iqmLL.webp?v=1759548819\"\u003e\u003c\/p\u003e\n\u003cp\u003eKiti cha roboti cha 6-axis chenye vifaa vya chanzo wazi, kinachofaa na reComputer Mini J4012 Orin NX 16GB.Inasaidia LeRobot kwenye Hugging Face kwa rasilimali za jamii na kujifunza kwa nguvu za kuiga, ikiruhusu uratibu wa mwili mzima. Inarahisisha ukusanyaji wa data, simulation, na mafunzo. Makaratasi ya QR yanatoa ufikiaji wa GitHub, Wiki, na faili za uchapishaji wa 3D za mifupa.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"NVIDIA Jetson Orin NX dev kit with reComputer J40 and SO-ARM101 robot arms shows real-time system and GPU stats on a monitor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm101-robot-arm-ZoKgh.webp?v=1759548847\"\u003e\u003c\/p\u003e\n\u003cp\u003eKifaa cha Developer cha NVIDIA Jetson Orin NX chenye reComputer J40 na mikono ya roboti SO-ARM101, ikionyesha takwimu za mfumo na matumizi ya GPU kwenye monitor.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"SO-ARM101 AI Arm Motor Kit","offer_id":47829107671264,"sku":"SO-ARM101-1","price":312.0,"currency_code":"USD","in_stock":true},{"title":"SO-ARM101 AI Arm Motor Kit Pro","offer_id":47829107704032,"sku":"SO-ARM101-2","price":399.0,"currency_code":"USD","in_stock":true},{"title":"SO-ARM101 Sehemu za Kuchapishwa kwa 3D","offer_id":47829107736800,"sku":"SO-ARM101-3","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114993667-so-arm101-low-cost-ai-arm-servo-motor-kit-pro-for-lerobot.png?v=1759548392"},{"product_id":"so-arm101-low-cost-ai-arm-3d-printed-skeleton","title":"SO-ARM101 Mkono wa AI wa Gharama Nafuu Uliyochapishwa kwa 3D – Sehemu za PLA+ za Chanzo Huria kwa LeRobot, seti zilizoboreshwa za Kiongozi\/Mfuasi\/Kishikio","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eSO-ARM101 Mkono wa AI wa Gharama Nafuu wa 3D Umepangwa ni pamoja na sehemu za muundo zilizochapishwa kwa 3D za kujenga mkono wa roboti wa SO-ARM101 na kujifunza kwa kutumia mfumo wa LeRobot. Inatoa rasilimali za chanzo wazi kwa ajili ya mkusanyiko wa haraka, kalibrishaji, upimaji, ukusanyaji wa data, mafunzo na utekelezaji. Sehemu zilizochapishwa zimeimarishwa kwa urahisi wa usakinishaji na zina sehemu za kufunga kwa Bodi ya Adapta ya Servo kwa Seeed Studio XIAO; sehemu zinaweza kutofautiana kidogo na hati rasmi za GitHub. Imeundwa kwa ajili ya wapenzi, wanafunzi na wabunifu wanaotafuta njia ya gharama nafuu ya vifaa wazi kuelekea roboti za kisasa.\u003c\/p\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003ch3\u003eChanzo wazi na gharama nafuu\u003c\/h3\u003e\u003cp\u003eMuundo wa mkono wa roboti unaoendeshwa na jamii kutoka TheRobotStudio, unaletwa kama sehemu zilizochapishwa kwa 3D.\u003c\/p\u003e\u003ch3\u003eMuunganisho na LeRobot\u003c\/h3\u003e\u003cp\u003eImeundwa kufanya kazi na jukwaa la LeRobot (moduli za PyTorch, seti za data na zana) kwa ajili ya michakato ya kujifunza kwa nguvu na kujifunza kwa nakala, ikijumuisha ukusanyaji wa data, uigaji, mafunzo na uwekaji.\u003c\/p\u003e\u003ch3\u003eRasilimali nyingi za kujifunza\u003c\/h3\u003e\u003cp\u003eMaelekezo ya mkusanyiko na kalibrishaji pamoja na mafunzo ya kupima, ukusanyaji wa data, mafunzo ya moduli na uwekaji yanaruhusu kuanza haraka na maendeleo endelevu.\u003c\/p\u003e\u003ch3\u003eInafaa na vifaa vya Nvidia edge\u003c\/h3\u003e\u003cp\u003eWeka na reComputer Mini J4012 Orin NX 16 GB.\u003c\/p\u003e\u003ch3\u003eSehemu zilizochapishwa kwa usahihi\u003c\/h3\u003e\u003cp\u003eMifano iliyosasishwa kwa ajili ya usakinishaji rahisi, ikionyesha ulinganifu wa usakinishaji na Bodi ya Adaptor ya Servo kwa Seeed Studio XIAO (sehemu zilizochapishwa zinaweza kutofautiana na faili rasmi za GitHub).\u003c\/p\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiongozi\u003c\/td\u003e\n\u003ctd\u003eMfuasi\u003c\/td\u003e\n\u003ctd\u003eClamp\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e11 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRangi\u003c\/td\u003e\n\u003ctd\u003eBlack\u003c\/td\u003e\n\u003ctd\u003eWhite\u003c\/td\u003e\n\u003ctd\u003eGrey\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaterial\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003ctd\u003ePLA+\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUjazo wa Ndani\u003c\/td\u003e\n\u003ctd\u003e15%\u003c\/td\u003e\n\u003ctd\u003e15%\u003c\/td\u003e\n\u003ctd\u003e30%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Kimejumuishwa\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu za Kiongozi\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu za Mfuasi\u003c\/td\u003e\n\u003ctd\u003e11 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu za Clamp\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMatumizi\u003c\/h2\u003e\u003cp\u003eKujifunza kwa nakala na kujifunza kwa nguvu kwa kutumia mfumo wa LeRobot.LeRobot inafaa na mfululizo wa mikono ya roboti SO‑ARM10x na inatoa mipango kamili ya kufundisha kazi za kushika na kuweka, ikiwa na simuleringi na uwekaji kamili kwenye vifaa vya Nvidia Jetson edge.\u003c\/p\u003e\u003ch2\u003eHati\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/lerobot\/STS3215-C001-20230624.pdf\" target=\"_blank\"\u003eSTS3215 Servo Motor Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/makerworld.com\/zh\/models\/908660-so-arm100\" target=\"_blank\"\u003eFinedtune faili za sehemu zilizochapishwa kwa 3D\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/TheRobotStudio\/SO-ARM100\" target=\"_blank\"\u003eSehemu za asili za SO-ARM101 zilizochapishwa kwa 3D\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/lerobot\/bus_servo_xiao.pdf\" target=\"_blank\"\u003eBodi ya Adaptasi ya Servo kwa Seeed Studio XIAO Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J301x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J301x Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003ereComputer J401X Datasheet\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_mini_datasheet_V1.0.pdf\" target=\"_blank\"\u003ereComputer_mini_datasheet_V1.0\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926909090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926100000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e3926909705\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCHINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003cimg alt=\"SO ARM 101 AI Arm, LeRobot AI Arm Kit SO-ARM101 is a 6-axis open-source robotic arm for Orin NX, enabling AI learning, simulation, and prototyping with educational, customizable, and community-supported tools.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm-101-ai-arm-DmwvE.webp?v=1759550477\"\u003e\u003cp\u003eLeRobot AI Arm Kit SO-ARM101 inafanya kazi na reComputer Mini J4012 Orin NX 16GB, ikiwa na mkono wa roboti wa axisi 6 na vifaa vya chanzo wazi. Inasaidia simulation, mafunzo, na kujifunza kwa kuiga kwa uratibu wa mwili mzima. Kifaa hiki kinajumuisha ufikiaji wa LeRobot Hugging Face kwa rasilimali za jamii na zana za ukusanyaji wa data. Makaratasi ya QR yanahusisha na GitHub, Wiki, na faili za uchapishaji wa 3D za mifupa, kuruhusu mkusanyiko rahisi na kubadilisha.Imeundwa kwa ajili ya elimu na maendeleo, inatoa uzoefu wa vitendo katika roboti, uunganishaji wa AI, na uundaji wa mifano ya matumizi halisi katika muundo mdogo, unaopatikana kwa urahisi.\u003c\/p\u003e\u003cimg alt=\"SO ARM 101 AI Arm, NVIDIA Jetson Orin NX Dev Kit with reComputer J40 shows AI arm components and real-time system monitoring data on screen.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/so-arm-101-ai-arm-3z4LW.webp?v=1759550504\"\u003e\u003cp\u003eKifaa cha NVIDIA Jetson Orin NX Developer Kit chenye reComputer J40, kinachoonyesha vipengele vya mkono wa AI na data ya ufuatiliaji wa mfumo wa wakati halisi kwenye skrini.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47829167735008,"sku":"SO-ARM101-3D","price":65.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-114993668-so-arm101-low-cost-ai-arm-3d-printed-parts-for-lerobot.jpg?v=1759550083"},{"product_id":"fashionstar-starai-7-dof-robot-arm-viola-violin-compatible-with-hugging-face-lerobot","title":"Mwanamitindo Stari 7 DoF Robot Arm Kit (Viola \u0026 Violin), inayoendana na Hugging Face LeRobot, ROS2\/MoveIt2\/Isaac Sim","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e  \u003cp\u003eMwanamitindo Stari 7 DoF Robot Arm kit (Viola \u0026amp; Violin) ni suluhu ya mkono ya roboti iliyokusanywa mapema, inayotegemea servo iliyoundwa kwa ajili ya kujifunza kutoka mwisho hadi mwisho. Seti hii inajumuisha mkono mmoja wa kiongozi (Violin) kwa maonyesho ya binadamu na mkono mmoja wa mfuasi (Viola) kwa ajili ya kujifunza na kutekeleza. Inaauni mfumo wa Hugging Face LeRobot na ROS2, kuwezesha kazi za kukamata za ulimwengu halisi kwa usahihi mkubwa wa nafasi. Kumbuka: adapta za nguvu hazijajumuishwa na kit kinahitaji adapta mbili za nguvu za 12V10A zilizo na kiunganishi cha XT30 au waya zilizolegea kwa vituo vya skrubu.\u003c\/p\u003e  \u003ch2\u003eSifa Muhimu\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eSeti 7 za mkono za roboti za DoF zilizokusanywa mapema na mikono ya kiongozi na wafuasi kwa maonyesho na kujifunza.\u003c\/li\u003e  \u003cli\u003eKazi ya ulimwengu halisi inaweza: 300g mzigo wa kazi (pamoja na kufikia 70%) na kufikia 470mm.\u003c\/li\u003e  \u003cli\u003eKusimamishwa kwa kujitegemea: mikono inaweza kushikilia msimamo baada ya kubonyeza kitufe ili kukusanya data kwa urahisi.\u003c\/li\u003e  \u003cli\u003eMfumo wa LeRobot unaooana: SDK chini ya Hugging Face LeRobot kwa ajili ya ukusanyaji na mafunzo yaliyorahisishwa ya data.\u003c\/li\u003e  \u003cli\u003eROS2 inayotumika, MoveIt2 na Isaac Sim: Mada za ROS2 za udhibiti na data, MoveIt2 kwa kinematics kinyume, simulation katika Isaac Sim.\u003c\/li\u003e  \u003cli\u003eSDK ya chanzo-wazi: Maendeleo ya Python na C++ yanaungwa mkono.\u003c\/li\u003e  \u003cli\u003eKuelea kwa kitufe: huiga fidia ya mvuto ili kuelea katika nafasi yoyote kupitia kitufe.\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eVipimo\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eBidhaa\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e\u003cstrong\u003eMfuasi Arm Viola\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e\u003cstrong\u003eKiongozi Arm Violin\u003c\/strong\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eIliyopimwa Voltage\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e12V\u003c\/td\u003e  \u003ctd\u003e12V\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eJoto la Uendeshaji\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e-10℃~60℃\u003c\/td\u003e  \u003ctd\u003e-10℃~60℃\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eNguvu\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e120W (XT30\/Screw Terminal)\u003c\/td\u003e  \u003ctd\u003e120W (XT30\/Screw Terminal)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eViwango vya Uhuru\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e6+1\u003c\/td\u003e  \u003ctd\u003e6+1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMzigo wa kazi\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eGramu 300 (na 70%)\u003c\/td\u003e  \u003ctd\u003eN\/A\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eFikia\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e470 mm\u003c\/td\u003e  \u003ctd\u003e470 mm\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMuda\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e940 mm\u003c\/td\u003e  \u003ctd\u003e940 mm\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHuduma\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eRX8-U50H-M x2; RA8-U25H-M x4; RA8-U26H-M x1\u003c\/td\u003e  \u003ctd\u003eRX8-U50H-M x2; RA8-U25H-M x4; RA8-U26H-M x1\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eNini Pamoja\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eMkono wa Kiongozi x1\u003c\/li\u003e  \u003cli\u003eMkono wa Mfuasi x1\u003c\/li\u003e  \u003cli\u003eMichemraba x4\u003c\/li\u003e  \u003cli\u003eWrench ya Allen x1\u003c\/li\u003e  \u003cli\u003eScrew x2\u003c\/li\u003e  \u003cli\u003eVikwazo x2\u003c\/li\u003e  \u003cli\u003eAdapta ya umeme: Bila (inahitaji adapta za umeme 12V10A zilizo na kiunganishi cha XT30 x2 au waya zilizolegea kwa vituo vya skrubu)\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eMaombi\u003c\/h2\u003e  \u003cp\u003eKujifunza kwa kuiga na kuimarisha ujifunzaji kwa ukusanyaji kamili wa data, mafunzo, usambazaji na uigaji kupitia mfumo wa LeRobot. Kwenye vifaa vya makali vya Nvidia Jetson, ni haraka kutoa mafunzo kwa mikono ya roboti iliyobinafsishwa kwa kushika na kuweka kazi. Mafunzo: \u003ca rel=\"noopener\" href=\"https:\/\/www.jetson-ai-lab.com\/lerobot.html\" target=\"_blank\"\u003eLeRobot - NVIDIA Jetson AI Lab\u003c\/a\u003e.\u003c\/p\u003e  \u003ch2\u003eMuhtasari wa Vifaa\u003c\/h2\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Fashionstar-Starai-7-DoF-Robot-Arm-aOCxw.webp?v=1759569068\" alt=\"Fashionstar Starai 7 DoF Robot Arm, A fashion-themed robot arm kit for Starai 7 DoF Robot Arm, compatible with LeRobot, ROS2, MoveIt2, and Isaac Sim platforms.\"\u003e\u003c\/p\u003e  \u003cdiv id=\"product_info_27290d3635f89\" class=\"relative\"\u003e  \u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e  \u003ch2\u003eNyaraka\u003c\/h2\u003e  \u003c\/div\u003e  \u003cdiv\u003e  \u003cdiv class=\"html_content_2981\"\u003e  \u003cdiv class=\"documents_list\"\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/arm\/Star_Arm_Viola-Violin_EN_v1.3.pdf\" target=\"_blank\"\u003eKaratasi ya data ya Arm\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/Fashion%20Star_U25(H)_Datasheet_EN_V1.1.08.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eRA8-U25H-M\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/Fashion%20Star_U50H_Datasheet_EN_V1.1.08.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eRX8-U50H-M\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/UC01_Datasheet_EN_V1.1.07.pdf\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eS\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ev\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eB\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eo\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003er\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ed\u003c\/span\u003e\u003cspan\u003e  \u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eD\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ea\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003es\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003eh\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003ee\u003c\/span\u003e\u003cspan data-font-family=\"default\"\u003et\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/lerobot_starai_arm\/\" target=\"_blank\"\u003eKuanza na StarAI Robot Arm pamoja na LeRobot\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/lerobot-starai\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003elerobot-starai github\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/hardware\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eHATUA\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/src\/cello_description\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eURDF\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003cdiv class=\"doc_item\"\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\" target=\"_blank\"\u003e\u003cspan data-font-family=\"default\"\u003eStarAI Robot Arm moveit2\u003c\/span\u003e\u003c\/a\u003e\u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003cdiv id=\"product_info_50ef85211b2a08\" class=\"relative\"\u003e  \u003cdiv class=\"absolute bottom-full left-0 w-full h-1 p_scroll_into_view_2981\"\u003e\u003cbr\u003e\u003c\/div\u003e  \u003cdiv class=\"text-24 font-mst-b max1080:text-22 leading-tight py-20 max1080:py-15\"\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003c\/div\u003e  \u003cdiv\u003e  \u003cdiv class=\"html_content_2981\"\u003e  \u003cdiv\u003e  \u003cdiv class=\"certification\"\u003e\u003cbr\u003e\u003c\/div\u003e  \u003cdiv class=\"p_2981_table_wrapper\"\u003e  \u003ctable class=\"p_2981_table\"\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd class=\"name\"\u003eHSCODE\u003c\/td\u003e  \u003ctd\u003e9023009000\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd class=\"name\"\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e9503000090\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd class=\"name\"\u003eUPC\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd class=\"name\"\u003eEUHSCODE\u003c\/td\u003e  \u003ctd\u003e9023001000\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd class=\"name\"\u003eCOO\u003c\/td\u003e  \u003ctd\u003eCHINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e  \u003c\/div\u003e","brand":"Fashionstar","offers":[{"title":"Default Title","offer_id":47829807825120,"sku":"114090081","price":1169.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-114090081-fashionstar-star-arm-viola-violin_1.jpg?v=1759568594"},{"product_id":"fashionstar-starai-7-dof-robot-arm-cello-violin-compatible-with-hugging-face-lerobot","title":"Mwanamitindo Stari 7 DoF Robot Arm Cello \u0026 Seti ya Violin, Uso wa Kukumbatiana LeRobot \u0026 ROS2 Inaoana, Upakiaji wa 750g, Fikia 670mm","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eMwanamitindo Stari 7 DoF Robot Arm Cello Violin ni seti ya mkono ya roboti iliyokusanywa mapema, inayotegemea servo iliyoundwa kwa ajili ya kujifunza kutoka mwisho hadi mwisho na kazi za kufahamu ulimwengu halisi. Seti hii inajumuisha Violin moja ya Silaha ya Kiongozi kwa onyesho la mwanadamu na Cello moja ya Kufuata Arm ya kujifunza, inayotoa usahihi mkubwa wa msimamo. Inaoana na Hugging Face LeRobot na ROS2 kwa ukusanyaji, mafunzo na udhibiti wa data.\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eImeunganishwa awali: seti 7 za roboti za DOF zilizo tayari kutumika na Mkono mmoja wa Kiongozi (Violin) na Mkono mmoja wa Kufuati (Cello).\u003c\/li\u003e  \u003cli\u003eKazi ya ulimwengu halisi yenye uwezo: inaweza kutumika kwa kushika kazi; upakiaji wa kazi wa 300g na hali ya kufikia 470mm inatumika. Tazama Viainisho kwa ukadiriaji kamili.\u003c\/li\u003e  \u003cli\u003eKusimamishwa kwa Kinafsi\/Kitufe Hover: huiga fidia ya mvuto ili mkono uweze kuelea na kushikilia nafasi yoyote kupitia kitufe, kuwezesha ukusanyaji wa data kwa urahisi.\u003c\/li\u003e  \u003cli\u003eMfumo wa LeRobot unaooana: SDK chini ya mfumo wa Hugging Face LeRobot kwa ajili ya ukusanyaji na mafunzo rahisi ya data.\u003c\/li\u003e  \u003cli\u003eROS2 inayotumika, MoveIt2, na Isaac Sim: chapisha\/jisajili mada na udhibiti kupitia ROS2, kinematiki kinyume na MoveIt2, na uigaji katika Isaac Sim.\u003c\/li\u003e  \u003cli\u003eSDK ya chanzo-wazi: Maendeleo ya Python na C++ yanaungwa mkono.\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVidokezo\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eAdapta ya Nguvu HAIJAjumuishwa.\u003c\/li\u003e  \u003cli\u003eInahitaji Adapta ya Umeme ya 12V10A yenye kiunganishi cha XT30 au nyaya zilizolegea kwa vituo vya skrubu x1, na Ugavi wa Nguvu wa 300W na kiunganishi cha XT60 x1.\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable\u003e  \u003cthead\u003e\u003ctr\u003e  \u003cth\u003eKigezo\u003c\/th\u003e  \u003cth\u003eMfuasi Arm Cello\u003c\/th\u003e  \u003cth\u003eKiongozi Arm Violin\u003c\/th\u003e  \u003c\/tr\u003e\u003c\/thead\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eIliyopimwa Voltage\u003c\/td\u003e  \u003ctd\u003e12V\u003c\/td\u003e  \u003ctd\u003e12V\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eJoto la Uendeshaji\u003c\/td\u003e  \u003ctd\u003e-10℃~60℃\u003c\/td\u003e  \u003ctd\u003e-10℃~60℃\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e300W\u003c\/td\u003e  \u003ctd\u003e120W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eViwango vya Uhuru\u003c\/td\u003e  \u003ctd\u003e6+1\u003c\/td\u003e  \u003ctd\u003e6+1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMzigo wa kazi\u003c\/td\u003e  \u003ctd\u003e750g (na kufikia 70%)\u003c\/td\u003e  \u003ctd\u003eN\/A\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eFikia\u003c\/td\u003e  \u003ctd\u003e670 mm\u003c\/td\u003e  \u003ctd\u003e470 mm\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMuda\u003c\/td\u003e  \u003ctd\u003e1340 mm\u003c\/td\u003e  \u003ctd\u003e940 mm\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHuduma\u003c\/td\u003e  \u003ctd\u003eRX18-U100H-M x3\u003cbr\u003eRX8-U50H-M x3\u003cbr\u003eRX8-U51H-M x1\u003c\/td\u003e  \u003ctd\u003eRX8-U50H-M x2\u003cbr\u003eRA8-U25H-M x4\u003cbr\u003eRA8-U26H-M x1\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e\u003cp\u003eKwa habari zaidi, tafadhali angalia hifadhidata.\u003c\/p\u003e\u003ch2\u003eNini Pamoja\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eKiongozi Arm Violin\u003c\/td\u003e  \u003ctd\u003ex1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMfuasi Arm Cello\u003c\/td\u003e  \u003ctd\u003ex1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMichemraba\u003c\/td\u003e  \u003ctd\u003ex4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAllen wrench\u003c\/td\u003e  \u003ctd\u003ex1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eScrews\u003c\/td\u003e  \u003ctd\u003ex2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eVibandiko\u003c\/td\u003e  \u003ctd\u003ex2\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eKujifunza kwa kuiga na ujifunzaji wa kuimarisha kwa kutumia mfumo wa LeRobot.\u003c\/li\u003e  \u003cli\u003eKamilisha ukusanyaji wa data, mafunzo, uwekaji na mtiririko wa kazi wa kuiga. Kwenye vifaa vya makali vya NVIDIA Jetson, ni rahisi kufunza kazi zilizobinafsishwa za kufahamu na mahali.\u003c\/li\u003e  \u003c\/ul\u003e\u003cp\u003eMafunzo: \u003ca href=\"https:\/\/www.jetson-ai-lab.com\/lerobot.html\" rel=\"noopener\" target=\"_blank\"\u003eLeRobot - NVIDIA Jetson AI Lab\u003c\/a\u003e\u003c\/p\u003e\u003ch2\u003eNyaraka\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/Fashionstar\/arm\/Star_Arm_Cello-Violin_EN_v1.3.pdf\" rel=\"noopener\" target=\"_blank\"\u003eLaha ya data\u003c\/a\u003e\u003c\/li\u003e  \u003cli\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/lerobot_starai_arm\/\" rel=\"noopener\" target=\"_blank\"\u003eKuanza na StarAI Robot Arm pamoja na LeRobot\u003c\/a\u003e\u003c\/li\u003e  \u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/lerobot-starai\" rel=\"noopener\" target=\"_blank\"\u003elerobot-starai GitHub\u003c\/a\u003e\u003c\/li\u003e  \u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/hardware\" rel=\"noopener\" target=\"_blank\"\u003eHATUA\u003c\/a\u003e\u003c\/li\u003e  \u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\/tree\/main\/src\/cello_description\" rel=\"noopener\" target=\"_blank\"\u003eURDF\u003c\/a\u003e\u003c\/li\u003e  \u003cli\u003e\u003ca href=\"https:\/\/github.com\/Welt-liu\/star-arm-moveit2\" rel=\"noopener\" target=\"_blank\"\u003eStarAI Robot Arm MoveIt2\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\u003c\/td\u003e  \u003ctd\u003e9023009000\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e9023000000\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEUHSCODE\u003c\/td\u003e  \u003ctd\u003e9023001000\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCOO\u003c\/td\u003e  \u003ctd\u003eCHINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003cimg alt=\"Fashionstar Starai 7 DoF Robot Arm, Robotic arm suitable for grasping tasks with 300g payload and 470mm reach.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Fashionstar-Starai-7-DoF-Robot-Arm-2GTU5.webp?v=1759570135\"\u003e","brand":"Fashionstar","offers":[{"title":"Default Title","offer_id":47829829877984,"sku":"114090080","price":2499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-114090080-fashionstar-star-arm-cello-violin.jpg?v=1759569786"},{"product_id":"cereboto-openarm-7dof-robotic-arm-kit-diy-or-pre-assembled-open-source-ros-python-control","title":"CEREBOTO OpenArm 7DOF Kifurushi cha Mkono wa Roboti – Tengeneza Mwenyewe au Tayari Kimekusanywa, Udhibiti wa Chanzo Huria ROS\/Python","description":"\u003ch2 data-end=\"108\" data-start=\"97\"\u003eMuhtasari\u003c\/h2\u003e\n\u003cp data-end=\"634\" data-start=\"109\"\u003eRoboti ya CEREBOTO OpenArm 7DOF ni roboti ya kiwango cha utafiti, yenye ukubwa wa binadamu iliyoundwa kwa ajili ya vyuo vikuu, maabara, biashara za kuanzisha na watengenezaji makini. Ikiwa na nyuzi 7 za uhuru, urefu wa mkono wa 633 mm, mzigo wa kawaida wa 4.1 kg na mzigo wa juu wa 6.0 kg kwa mkono, OpenArm inatoa mwendo wa usahihi wa juu, mwingiliano salama wa kimwili na zana nyingi za chanzo wazi.\u003cbr data-end=\"457\" data-start=\"454\"\u003eUnaweza kuchagua kit la vifaa vya DIY kwa ajili ya mkusanyiko wa mikono, au mkono wa mwisho ulioandaliwa tayari kwa matumizi. Mipangilio ya mkono mmoja, mikono miwili na mikono minne inapatikana.\u003c\/p\u003e\n\u003ch2 data-end=\"651\" data-start=\"636\"\u003eVipengele Muhimu\u003c\/h2\u003e\n\u003cul data-end=\"1649\" data-start=\"652\"\u003e\n\u003cli data-end=\"780\" data-start=\"652\"\u003e\n\u003cp data-end=\"780\" data-start=\"654\"\u003e\u003cstrong data-end=\"686\" data-start=\"654\"\u003eRoboti ya 7DOF yenye ukubwa wa binadamu\u003c\/strong\u003e – iliyoundwa ili kufanana na urefu wa mkono wa binadamu wa 160–165 cm kwa ajili ya manipulering ya asili na teleoperation.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"902\" data-start=\"781\"\u003e\n\u003cp data-end=\"902\" data-start=\"783\"\u003e\u003cstrong data-end=\"811\" data-start=\"783\"\u003eMzigo mkubwa \u0026na uthabiti\u003c\/strong\u003e – mzigo wa kawaida 4.1 kg, mzigo wa juu 6.0 kg kwa mkono, ikiwa na uzito wa mkono wa 5.5 kg.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli data-end=\"1035\" data-start=\"903\"\u003e\n\u003cp data-end=\"1035\" data-start=\"905\"\u003e\u003cstrong data-end=\"950\" data-start=\"905\"\u003eMotori wanaoweza kuendesha nyuma \u0026na muundo unaokubalika\u003c\/strong\u003e – mwingiliano salama na laini kwa ushirikiano wa binadamu-roboti na kazi zinazodhibitiwa kwa nguvu.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1165\" data-start=\"1036\"\u003e\n\u003cp data-end=\"1165\" data-start=\"1038\"\u003e\u003cstrong data-end=\"1067\" data-start=\"1038\"\u003e1 kHz CAN-FD mzunguko wa udhibiti\u003c\/strong\u003e – udhibiti wa wakati halisi, wa chini ya ucheleweshaji kwa utafiti wa utendaji wa juu na matumizi ya viwanda.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1283\" data-start=\"1166\"\u003e\n\u003cp data-end=\"1283\" data-start=\"1168\"\u003e\u003cstrong data-end=\"1194\" data-start=\"1168\"\u003eUjenzi wa chuma chote\u003c\/strong\u003e – muundo thabiti wa aloi ya alumini na chuma cha pua kwa ugumu na kuteleza.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1392\" data-start=\"1284\"\u003e\n\u003cp data-end=\"1392\" data-start=\"1286\"\u003e\u003cstrong data-end=\"1321\" data-start=\"1286\"\u003eVifaa vya chanzo wazi \u0026na programu\u003c\/strong\u003e – CAD wazi, PCB, firmware na programu za udhibiti kwa uboreshaji wa kina.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1507\" data-start=\"1393\"\u003e\n\u003cp data-end=\"1507\" data-start=\"1395\"\u003e\u003cstrong data-end=\"1426\" data-start=\"1395\"\u003eUsaidizi wa ROS, Python na C++\u003c\/strong\u003e – uunganisho rasmi wa ROS pamoja na APIs za Python\/C++ kwa maendeleo ya haraka ya algorithimu.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1649\" data-start=\"1508\"\u003e\n\u003cp data-end=\"1649\" data-start=\"1510\"\u003e\u003cstrong data-end=\"1542\" data-start=\"1510\"\u003eEkosistimu yenye utajiri na upanuzi\u003c\/strong\u003e – inasaidia mikono ya roboti yenye ustadi, glovu za kukamata mwendo na msingi wa simu kwa majukwaa kamili ya roboti.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"1678\" data-start=\"1651\"\u003eMaelezo ya Kiufundi\u003c\/h2\u003e\n\u003cul data-end=\"2224\" data-start=\"1679\"\u003e\n\u003cli data-end=\"1720\" data-start=\"1679\"\u003e\n\u003cp data-end=\"1720\" data-start=\"1681\"\u003e\u003cstrong data-end=\"1704\" data-start=\"1681\"\u003eViwango vya Uhuru:\u003c\/strong\u003e 7 DOF kwa mkono\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1746\" data-start=\"1721\"\u003e\n\u003cp data-end=\"1746\" data-start=\"1723\"\u003e\u003cstrong data-end=\"1737\" data-start=\"1723\"\u003eUrefu wa Mkono:\u003c\/strong\u003e 633 mm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1778\" data-start=\"1747\"\u003e\n\u003cp data-end=\"1778\" data-start=\"1749\"\u003e\u003cstrong data-end=\"1769\" data-start=\"1749\"\u003eMzigo wa Kawaida:\u003c\/strong\u003e 4.1 kg\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1815\" data-start=\"1779\"\u003e\n\u003cp data-end=\"1815\" data-start=\"1781\"\u003e\u003cstrong data-end=\"1798\" data-start=\"1781\"\u003eMzigo wa Juu:\u003c\/strong\u003e 6.0 kg kwa mkono\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1858\" data-start=\"1816\"\u003e\n\u003cp data-end=\"1858\" data-start=\"1818\"\u003e\u003cstrong data-end=\"1833\" data-start=\"1818\"\u003eUzito wa Mkono:\u003c\/strong\u003e takriban 5.5 kg kwa mkono\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"1929\" data-start=\"1859\"\u003e\n\u003cp data-end=\"1929\" data-start=\"1861\"\u003e\u003cstrong data-end=\"1875\" data-start=\"1861\"\u003eVifaa:\u003c\/strong\u003e Sehemu za muundo za aloi ya alumini na chuma cha pua\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2037\" data-start=\"1930\"\u003e\n\u003cp data-end=\"2037\" data-start=\"1932\"\u003e\u003cstrong data-end=\"1954\" data-start=\"1932\"\u003eKiolesura cha Udhibiti:\u003c\/strong\u003e CAN \/ CAN-FD, UART (kupitia adapter ya USB2CANFD-X2 iliyojumuishwa kwenye toleo la mikono miwili\/mine)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2088\" data-start=\"2038\"\u003e\n\u003cp data-end=\"2088\" data-start=\"2040\"\u003e\u003cstrong data-end=\"2062\" data-start=\"2040\"\u003eMasafa ya Udhibiti:\u003c\/strong\u003e hadi 1 kHz mzunguko wa CAN-FD\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2149\" data-start=\"2089\"\u003e\n\u003cp data-end=\"2149\" data-start=\"2091\"\u003e\u003cstrong data-end=\"2112\" data-start=\"2091\"\u003eUsaidizi wa Programu:\u003c\/strong\u003e Mfumo wa ROS, API ya Python, API ya C++\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2224\" data-start=\"2150\"\u003e\n\u003cp data-end=\"2224\" data-start=\"2152\"\u003e\u003cstrong data-end=\"2167\" data-start=\"2152\"\u003eErgonomics:\u003c\/strong\u003e urefu wa mkono unaofaa kwa watumiaji wenye urefu wa mwili wa 160–165 cm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"2261\" data-start=\"2226\"\u003eProgramu \u0026na Mfumo wa Chanzo Huria\u003c\/h2\u003e\n\u003cp data-end=\"2346\" data-start=\"2262\"\u003eOpenArm ni jukwaa la mkono wa roboti lenye chanzo huria kabisa.Rasilimali rasmi zinajumuisha:\u003c\/p\u003e\n\u003cul data-end=\"2526\" data-start=\"2348\"\u003e\n\u003cli data-end=\"2376\" data-start=\"2348\"\u003e\n\u003cp data-end=\"2376\" data-start=\"2350\"\u003e\u003cstrong data-end=\"2362\" data-start=\"2350\"\u003eTovuti:\u003c\/strong\u003e openarm.dev\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2416\" data-start=\"2377\"\u003e\n\u003cp data-end=\"2416\" data-start=\"2379\"\u003e\u003cstrong data-end=\"2397\" data-start=\"2379\"\u003eHati:\u003c\/strong\u003e docs.openarm.dev\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2459\" data-start=\"2417\"\u003e\n\u003cp data-end=\"2459\" data-start=\"2419\"\u003e\u003cstrong data-end=\"2430\" data-start=\"2419\"\u003eGitHub:\u003c\/strong\u003e github.com\/enactic\/openarm\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2526\" data-start=\"2460\"\u003e\n\u003cp data-end=\"2526\" data-start=\"2462\"\u003e\u003cstrong data-end=\"2481\" data-start=\"2462\"\u003eVideo ya Mafunzo:\u003c\/strong\u003e mwongozo rasmi wa YouTube wa kuanza\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"2709\" data-start=\"2528\"\u003ePamoja na faili za CAD, PCB na firmware za wazi, unaweza kubadilisha mitambo, umeme na programu za kudhibiti, au kuongeza mkono na sensorer mpya na vifaa vya mwisho kwa mada zako za utafiti.\u003c\/p\u003e\u003ch2 data-end=\"2743\" data-start=\"2711\"\u003eMatukio ya Maombi ya Kawaida\u003c\/h2\u003e\n\u003cp data-end=\"2830\" data-start=\"2744\"\u003eOpenArm imeundwa kama jukwaa la utafiti na ufundishaji lenye usahihi wa hali ya juu na matumizi mengi kwa:\u003c\/p\u003e\n\u003col data-end=\"3172\" data-start=\"2832\"\u003e\n\u003cli data-end=\"2888\" data-start=\"2832\"\u003e\n\u003cp data-end=\"2888\" data-start=\"2835\"\u003e\u003cstrong data-end=\"2886\" data-start=\"2835\"\u003eKozi za roboti za chuo kikuu na majaribio ya maabara\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"2941\" data-start=\"2889\"\u003e\n\u003cp data-end=\"2941\" data-start=\"2892\"\u003e\u003cstrong data-end=\"2939\" data-start=\"2892\"\u003eTaasisi za utafiti na miradi ya maabara\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3003\" data-start=\"2942\"\u003e\n\u003cp data-end=\"3003\" data-start=\"2945\"\u003e\u003cstrong data-end=\"3001\" data-start=\"2945\"\u003eUtafiti wa kujifunza kwa nguvu na AI inayotegemea fizikia\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3068\" data-start=\"3004\"\u003e\n\u003cp data-end=\"3068\" data-start=\"3007\"\u003e\u003cstrong data-end=\"3066\" data-start=\"3007\"\u003eMaingiliano ya binadamu na roboti na masomo ya roboti za ushirikiano\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3120\" data-start=\"3069\"\u003e\n\u003cp data-end=\"3120\" data-start=\"3072\"\u003e\u003cstrong data-end=\"3118\" data-start=\"3072\"\u003eMaeneo ya watengenezaji na timu za vifaa vya chanzo wazi\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3172\" data-start=\"3121\"\u003e\n\u003cp data-end=\"3172\" data-start=\"3124\"\u003e\u003cstrong data-end=\"3172\" data-start=\"3124\"\u003eElimu ya uhandisi na majukwaa ya mafunzo\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp data-end=\"3323\" data-start=\"3174\"\u003ePamoja na ukubwa wake wa kiwango cha binadamu na uendeshaji unaofaa, OpenArm ni bora kwa usimamizi, teleoperation, kujifunza kwa nakala, roboti za kusaidia na zaidi.\u003c\/p\u003e\u003ch2 data-end=\"3361\" data-start=\"3325\"\u003eMatoleo ya Bidhaa \u0026na Mipangilio\u003c\/h2\u003e\n\u003cp data-end=\"3396\" data-start=\"3362\"\u003e\u003cstrong data-end=\"3394\" data-start=\"3362\"\u003eToleo la 1 – Kifaa cha Kijifunzaji\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"3620\" data-start=\"3397\"\u003e\n\u003cli data-end=\"3494\" data-start=\"3397\"\u003e\n\u003cp data-end=\"3494\" data-start=\"3399\"\u003eKwa watumiaji wenye ujuzi mzuri wa vitendo wanaotaka kuelewa kwa undani muundo wa mitambo.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3620\" data-start=\"3495\"\u003e\n\u003cp data-end=\"3620\" data-start=\"3497\"\u003eInajumuisha sehemu zote za mitambo, umeme na zilizochapishwa kwa 3D; unakusanya na kupeleka mkono mwenyewe ukifuatilia mwongozo.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"3660\" data-start=\"3622\"\u003e\u003cstrong data-end=\"3658\" data-start=\"3622\"\u003eToleo la 2 – Mkono wa Roboti uliohitimishwa\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"3840\" data-start=\"3661\"\u003e\n\u003cli data-end=\"3754\" data-start=\"3661\"\u003e\n\u003cp data-end=\"3754\" data-start=\"3663\"\u003eKwa taasisi za utafiti, maabara, kampuni na walimu wanaohitaji jukwaa la kuunganisha na kucheza.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3840\" data-start=\"3755\"\u003e\n\u003cp data-end=\"3840\" data-start=\"3757\"\u003eImejengwa kabisa, imepangwa na kupelekwa kabla ya kusafirishwa; tayari kutumika mara tu inapotolewa.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-end=\"3898\" data-start=\"3842\"\u003e\u003cstrong data-end=\"3898\" data-start=\"3842\"\u003eInapatikana mipangilio ya mikono (kulingana na orodha):\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-end=\"4061\" data-start=\"3899\"\u003e\n\u003cli data-end=\"3923\" data-start=\"3899\"\u003e\n\u003cp data-end=\"3923\" data-start=\"3901\"\u003eKifaa cha DIY – Mkono Mmoja\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3953\" data-start=\"3924\"\u003e\n\u003cp data-end=\"3953\" data-start=\"3926\"\u003eMkono Uliokamilika – Mkono Mmoja\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"3977\" data-start=\"3954\"\u003e\n\u003cp data-end=\"3977\" data-start=\"3956\"\u003eKifaa cha DIY – Mikono Miwili\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4007\" data-start=\"3978\"\u003e\n\u003cp data-end=\"4007\" data-start=\"3980\"\u003eMikono Iliyo Kamilika – Mikono Miwili\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4031\" data-start=\"4008\"\u003e\n\u003cp data-end=\"4031\" data-start=\"4010\"\u003eKifaa cha DIY – Mikono Minne\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4061\" data-start=\"4032\"\u003e\n\u003cp data-end=\"4061\" data-start=\"4034\"\u003eMikono Iliyo Kamilika – Mikono Minne\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"4082\" data-start=\"4063\"\u003eMaudhui ya Kifurushi\u003c\/h2\u003e\n\u003cp data-end=\"4138\" data-start=\"4083\"\u003eKila kifaa cha OpenArm au mfumo ulio kamilika kwa kawaida kinajumuisha:\u003c\/p\u003e\n\u003col data-end=\"4474\" data-start=\"4140\"\u003e\n\u003cli data-end=\"4210\" data-start=\"4140\"\u003e\n\u003cp data-end=\"4210\" data-start=\"4143\"\u003e\u003cstrong data-end=\"4208\" data-start=\"4143\"\u003eVipengele vya muundo wa alumini na chuma cha pua\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4266\" data-start=\"4211\"\u003e\n\u003cp data-end=\"4266\" data-start=\"4214\"\u003e\u003cstrong data-end=\"4264\" data-start=\"4214\"\u003eMotors, bodi za dereva, usambazaji wa nguvu na nyaya\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4307\" data-start=\"4267\"\u003e\n\u003cp data-end=\"4307\" data-start=\"4270\"\u003e\u003cstrong data-end=\"4305\" data-start=\"4270\"\u003eSehemu za kuchapishwa kwa 3D na seti za screws\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4474\" data-start=\"4308\"\u003e\u003cp data-end=\"4474\" data-start=\"4311\"\u003e\u003cstrong data-end=\"4346\" data-start=\"4311\"\u003eToleo la mikono miwili na mikono minne:\u003c\/strong\u003e kifaa kimoja rasmi kinachofaa BOM \u003cstrong data-end=\"4391\" data-start=\"4375\"\u003eUSB2CANFD-X2\u003c\/strong\u003e (CEREBOTO ndiye wakala wa ndani aliyeidhinishwa) kwa mawasiliano ya PC hadi CAN-FD.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003ch2 data-end=\"4508\" data-start=\"4476\"\u003eNyongeza za Vifaa Zinazoungwa Mkono\u003c\/h2\u003e\n\u003cp data-end=\"4619\" data-start=\"4509\"\u003eOpenArm inasaidia nyongeza nyingi za vifaa (zinauzwa kando), ikikuwezesha kujenga mfumo kamili wa roboti:\u003c\/p\u003e\n\u003cul data-end=\"4857\" data-start=\"4621\"\u003e\n\u003cli data-end=\"4698\" data-start=\"4621\"\u003e\n\u003cp data-end=\"4698\" data-start=\"4623\"\u003e\u003cstrong data-end=\"4649\" data-start=\"4623\"\u003eKidole cha roboti chenye ustadi\u003c\/strong\u003e – kwa ajili ya utafiti wa usimamizi wa nyenzo na kushika.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4785\" data-start=\"4699\"\u003e\n\u003cp data-end=\"4785\" data-start=\"4701\"\u003e\u003cstrong data-end=\"4729\" data-start=\"4701\"\u003eKifaa cha glavu za kukamata mwendo\u003c\/strong\u003e – kwa ajili ya teleoperation ya kiufundi na kujifunza kwa kuiga.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-end=\"4857\" data-start=\"4786\"\u003e\n\u003cp data-end=\"4857\" data-start=\"4788\"\u003e\u003cstrong data-end=\"4803\" data-start=\"4788\"\u003eMsingi wa simu\u003c\/strong\u003e – kubadilisha OpenArm kuwa jukwaa la manipulator la simu.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-end=\"4865\" data-start=\"4859\"\u003eMaswali Yanayoulizwa Mara kwa Mara (FAQ)\u003c\/h2\u003e\n\u003cp data-end=\"5124\" data-start=\"4866\"\u003e\u003cstrong data-end=\"4913\" data-start=\"4866\"\u003eQ: Je, mkono wa roboti unaweza kutumika mara moja?\u003c\/strong\u003e\u003cbr data-end=\"4916\" data-start=\"4913\"\u003e\u003cstrong data-end=\"4922\" data-start=\"4916\"\u003eA:\u003c\/strong\u003e Toleo la mkono lililotengenezwa limepangwa na kupimwa kwa usahihi katika kiwanda—washa tu na uanze kufanya kazi. Kifaa cha vifaa vya DIY kinakuhitaji kuunganisha na kuandaa mfumo kufuata maelekezo.\u003c\/p\u003e\u003cp data-end=\"5303\" data-start=\"5126\"\u003e\u003cstrong data-end=\"5184\" data-start=\"5126\"\u003eQ: Je, OpenArm inafaa na ROS au middleware mwingine?\u003c\/strong\u003e\u003cbr data-end=\"5187\" data-start=\"5184\"\u003e\u003cstrong data-end=\"5193\" data-start=\"5187\"\u003eA:\u003c\/strong\u003e Ndio. OpenArm rasmi inasaidia mfumo wa ROS, na unaweza pia kudhibiti mkono kupitia Python na C++ APIs.\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cstrong data-end=\"5336\" data-start=\"5305\"\u003eQ: Huu ni bidhaa ya nani?\u003c\/strong\u003e\u003cbr data-end=\"5339\" data-start=\"5336\"\u003e\u003cstrong data-end=\"5345\" data-start=\"5339\"\u003eA:\u003c\/strong\u003e Watafiti wa vyuo na taasisi, maabara ya AI \u0026amp; robotics, kufundisha kozi, vituo vya mafunzo ya uhandisi, na wapenda teknolojia wa hali ya juu.\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cimg alt=\"The Cereboto OpenArm 7DOF robot arm offers precise motion, a 6 kg payload, and robust design for industrial and research applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cereboto-OpenArm-7DOF-Robot-Arm-B1Rbe.webp?v=1765115256\"\u003e\u003c\/p\u003e\u003cp\u003eRoboti ya Cereboto OpenArm 7DOF ina viungo saba (J1–J7) vyenye mipaka ya pembe iliyofafanuliwa. Inasimama urefu wa 697 mm au 773 mm, inafikia 630 mm, na inakalia kwenye sahani ya msingi ya chuma isiyo na kutu ya 190×250 mm—nene ya 8 mm yenye mashimo 48 M6 yaliyopangwa kwa nafasi ya 30 mm. Inasukumwa na motors za DM8009P, DM4340P, DM4340, na DM4310, inashughulikia mizigo ya 6.0 kg kwa usahihi. Imeundwa kwa matumizi ya viwandani na utafiti, inalinganisha uimara wa muundo na udhibiti sahihi wa mwendo.\u003c\/p\u003e\u003cp data-end=\"5475\" data-start=\"5305\"\u003e\u003cimg alt=\"Cereboto OpenArm 7DOF Robot Arm, Robotic arm designed like a 160-165cm human arm for natural manipulation and teleoperation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Cereboto-OpenArm-7DOF-Robot-Arm-egCmC.webp?v=1765115284\"\u003e\u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e \u003c\/p\u003e\n\u003cp data-end=\"5475\" data-start=\"5305\"\u003e \u003c\/p\u003e","brand":"CEREBOTO","offers":[{"title":"Kifaa cha DIY (Mkono Mmoja) – Kujikusanya Mwenyewe","offer_id":48384602210528,"sku":"CEREBOTO-OpenArm-1","price":5399.0,"currency_code":"USD","in_stock":true},{"title":"Mkononi Umemalizika (Mkononi Mmoja) – Tayari Kutumika","offer_id":48384602243296,"sku":"CEREBOTO-OpenArm-2","price":6399.0,"currency_code":"USD","in_stock":true},{"title":"Kifaa cha DIY (Mikono Miwili) – Kujikusanya Mwenyewe","offer_id":48384602276064,"sku":"CEREBOTO-OpenArm-3","price":10749.0,"currency_code":"USD","in_stock":true},{"title":"Mikono Iliyokamilika (Mikono Miwili) – Tayari Kutumika","offer_id":48384602308832,"sku":"CEREBOTO-OpenArm-4","price":12079.0,"currency_code":"USD","in_stock":true},{"title":"Kifaa cha DIY (Mikono Minne) – Kujikusanya Mwenyewe","offer_id":48384602341600,"sku":"CEREBOTO-OpenArm-5","price":21059.0,"currency_code":"USD","in_stock":true},{"title":"Mikono Iliyokamilika (Mikono Minne) – Tayari Kutumika","offer_id":48384602374368,"sku":"CEREBOTO-OpenArm-6","price":23699.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/CEREBOTO-OpenArm-7DOF-Robotic-Arm-Kit-w460P.png?v=1765115098"},{"product_id":"so-arm100-diy-kit-assembled-version","title":"WowRobo Robotics SO-ARM100 Mkono wa Roboti – Kifurushi cha DIY \u0026 Kimekusanywa Kikamilifu, Kamera ya 2MP, Feetech ST3215-C018","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eRoboti ya WowRobo Robotics SO-ARM100 inategemea mradi wa LeRobot wa chanzo wazi kutoka Hugging Face na inapatikana kama Kifaa cha DIY au toleo lililokusanywa kikamilifu, tayari kutumika. Inasaidia usanidi wa macho-katika-mkono wenye kamera ya 2MP (iliyojumuishwa katika pakiti zilizochaguliwa) na inakuja katika rangi nyingi za kawaida. Toleo la Mkusanyiko Mweupe (Mfano wa Heshima ya Nembo) pia linaonyeshwa, limekusanywa mapema.\u003c\/p\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJukwaa la LeRobot SO-ARM100 la chanzo wazi; linapendekezwa rasmi na Hugging Face (kama inavyoonyeshwa).\u003c\/li\u003e\n\u003cli\u003eChaguzi mbili: Kifaa cha DIY au Toleo Lililokusanywa Kikamilifu.\u003c\/li\u003e\n\u003cli\u003eMaono ya macho-katika-mkono yenye kamera ya 2MP (inategemea pakiti).\u003c\/li\u003e\n\u003cli\u003eServos za Feetech ST3215-C018 12V\/30KG; vitengo 12 vimejumuishwa katika pakiti.\u003c\/li\u003e\n\u003cli\u003eSehemu zilizochapishwa kwa ubora wa juu wa PLA na ufungaji wa povu wa kawaida.\u003c\/li\u003e\n\u003cli\u003eRangi nyingi zinapatikana: buluu, nyeusi, rangi ya machungwa, nyeupe; Toleo la Mkusanyiko linapatikana kwa rangi nyeupe pekee.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAina ya bidhaa\u003c\/td\u003e\n\u003ctd\u003eMkono wa Roboti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMfano\u003c\/td\u003e\n\u003ctd\u003eSO-ARM100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003e2MP (imejumuishwa katika Kifurushi 2 na Kifurushi 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eServos\u003c\/td\u003e\n\u003ctd\u003eFeetech ST3215-C018, 12V\/30KG; vitengo 12 (kila kifurushi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu zilizochapishwa\u003c\/td\u003e\n\u003ctd\u003ePLA (imejumuishwa katika kila kifurushi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdaptari ya servo\u003c\/td\u003e\n\u003ctd\u003eWaveshare (vitengo 2 katika Kifurushi 2 na Kifurushi 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdaptari za nguvu\u003c\/td\u003e\n\u003ctd\u003e12V5A \u0026amp; 12V10A (seti 1 katika Kifurushi 2 na Kifurushi 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKuweka\u003c\/td\u003e\n\u003ctd\u003eFrame za C zilizowekwa (vitengo 4 katika Kifurushi 2 na Kifurushi 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNyaya za data\u003c\/td\u003e\n\u003ctd\u003e1.5m Dual-Type-C (nyaya 2 katika Kifurushi 2 na Kifurushi 3)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUfungaji \u0026na huduma ya kalibrishaji\u003c\/td\u003e\n\u003ctd\u003eIpo katika Kifurushi 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMwongozo wa moja kwa moja\u003c\/td\u003e\n\u003ctd\u003eIpo katika Kifurushi 3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eV rangi za kawaida\u003c\/td\u003e\n\u003ctd\u003eBluu, Nyeusi, Rangi ya Chungwa, Nyeupe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini kilichojumuishwa\u003c\/h2\u003e\u003ch3\u003eKifurushi 1\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e12 x Feetech ST3215-C018 Motors (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eSehemu zilizochapishwa kwa ubora wa juu wa PLA\u003c\/li\u003e\n\u003cli\u003eWaveshare Servo Adapter: Haijajumuishwa\u003c\/li\u003e\n\u003cli\u003eAdapta mbili za Nguvu (12V5A \u0026na 12V10A): Haijajumuishwa\u003c\/li\u003e\n\u003cli\u003eFrame za C zilizowekwa: Haijajumuishwa\u003c\/li\u003e\n\u003cli\u003e1.5m Kebuli za Data za Aina Mbili: Hazijajumuishwa\u003c\/li\u003e\n\u003cli\u003e2MP Kamera ya Mikono: Hazijajumuishwa\u003c\/li\u003e\n\u003cli\u003eHuduma ya kukamilisha mkusanyiko na kalibra: Hazijajumuishwa\u003c\/li\u003e\n\u003cli\u003eMwongozo wa moja kwa moja: Hazijajumuishwa\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKifurushi 2\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMotors 12 x Feetech ST3215-C018 (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eSehemu zilizochapishwa kwa ubora wa juu wa PLA\u003c\/li\u003e\n\u003cli\u003eAdapta 2 x Waveshare Servo\u003c\/li\u003e\n\u003cli\u003eSeti 1 ya Adapta za Nguvu (12V5A \u0026amp; 12V10A)\u003c\/li\u003e\n\u003cli\u003eFrames 4 x C-shaped Fixed\u003c\/li\u003e\n\u003cli\u003e2 x 1.5m Dual-Type-C Data Cables\u003c\/li\u003e\n\u003cli\u003e1 x 2MP Kamera ya Mikono\u003c\/li\u003e\n\u003cli\u003eHuduma ya kukamilisha mkusanyiko na kalibrated: Haijajumuishwa\u003c\/li\u003e\n\u003cli\u003eMwongozo wa moja kwa moja: Haijajumuishwa\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eKifurushi 3\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e12 x Motors za Feetech ST3215-C018 (12V\/30KG)\u003c\/li\u003e\n\u003cli\u003eSehemu zilizochapishwa za PLA za ubora wa juu\u003c\/li\u003e\n\u003cli\u003e2 x Waveshare Servo Adapters\u003c\/li\u003e\n\u003cli\u003eSeti 1 ya Power Adapters (12V5A \u0026amp; 12V10A)\u003c\/li\u003e\n\u003cli\u003e4 x Frames za Kifaa za C-shape\u003c\/li\u003e\n\u003cli\u003e2 x 1.5m Dual-Type-C Data Cables\u003c\/li\u003e\n\u003cli\u003e1 x 2MP Kamera ya Mikono\u003c\/li\u003e\n\u003cli\u003eHuduma ya kukamilisha mkusanyiko na kalibra: Imetolewa\u003c\/li\u003e\n\u003cli\u003eMwongozo wa moja kwa moja: Imetolewa\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eHabari za Usafirishaji\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 1\u003c\/td\u003e\n\u003ctd\u003e34cm × 29cm × 17cm\u003c\/td\u003e\n\u003ctd\u003e2KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 2\u003c\/td\u003e\n\u003ctd\u003e34cm × 30cm × 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 3\u003c\/td\u003e\n\u003ctd\u003e42cm × 27cm × 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eKwa maswali ya mauzo au ya kiufundi, wasiliana na huduma kwa wateja kwa \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e au tembelea \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUnahitaji Msaada au Una Maswali?\u003c\/strong\u003e Jiunge na jamii yetu ya \u003ca href=\"https:\/\/discord.gg\/dhTGTvJQC4\" rel=\"noopener\" target=\"_blank\"\u003eDiscord\u003c\/a\u003e kwa msaada wa haraka na vidokezo vya kuweka.\u003c\/p\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, Hugging Face recommends LeRobot SO-ARM100 Eye-in-Hand robotic arms for their capabilities.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-jPKC8.webp?v=1765116803\"\u003e\u003cp\u003eHugging Face inapendekeza LeRobot SO-ARM100 mikono ya roboti ya Eye-in-Hand.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, LeRobot SO-ARM100 Collector’s Edition: white, pre-assembled, fan-favorite robotic arm with community emblem, showcasing refined craftsmanship for desk display.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-nfzVc.webp?v=1765116843\"\u003e\u003cp\u003eLeRobot SO-ARM100 Toleo la Mkusanyiko: nyeupe, imejengwa awali, alama ya jamii, ufundi wa hali ya juu, mkono wa roboti maarufu kati ya wapenzi unaonyeshwa kwenye meza.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, Multiple standard colors available for robotic arm; custom options via customer service. Four color variants displayed.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-J5XaV.webp?v=1765116871\"\u003e\u003cp\u003eRangi nyingi za kawaida zinapatikana kwa mkono wa roboti; chaguzi za kawaida kupitia huduma kwa wateja. Mabadiliko manne ya rangi yanaonyeshwa.\u003c\/p\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, WowRobo robotics kit for building a robotic arm with eye-in-hand camera and Feetech motor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-aMvSl.webp?v=1765116906\"\u003e\u003cimg alt=\"WowRobo SO-ARM100 Robotic Arm, SO-ARM100 offers three packages with increasing features; Package 3 includes full support and calibration.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM100-Robotic-Arm-6UL5a.webp?v=1765116947\"\u003e\u003cp\u003eSO-ARM100 inatoa pakiti tatu. Zote zinajumuisha motors 12 na sehemu za PLA. Ngazi za juu zinaongeza adapta za servo, vyanzo vya nguvu, fremu, nyaya, kamera, huduma ya mkusanyiko, na mwongozo. Pakiti ya 3 inatoa msaada kamili na kalibrishaji.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Kifurushi 1: Sehemu Zilizochapishwa na Servos 12 \/ Mweusi","offer_id":48384605094112,"sku":"wow-so-arm100-1","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu Zilizochapishwa na Servos 12 \/ Nyeupe","offer_id":48384605126880,"sku":"wow-so-arm100-2","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu Zilizochapishwa na Servos 12 \/ Bluu","offer_id":48384605159648,"sku":"wow-so-arm100-3","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu Zilizochapishwa na Servos 12 \/ Machungwa","offer_id":48384605192416,"sku":"wow-so-arm100-4","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Sehemu Zote Zinazohitajika kwa SO-100 Mikono Miwili \/ Mweusi","offer_id":48384605225184,"sku":"wow-so-arm100-5","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Sehemu Zote Zinazohitajika kwa SO-100 Mikono Miwili \/ Nyeupe","offer_id":48384605257952,"sku":"wow-so-arm100-6","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Sehemu Zote Zinazohitajika kwa SO-100 Mikono Miwili \/ Bluu","offer_id":48384605290720,"sku":"wow-so-arm100-7","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Sehemu Zote Zinazohitajika kwa SO-100 Mikono Miwili \/ Machungwa","offer_id":48384605323488,"sku":"wow-so-arm100-8","price":259.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3A: Mkono wa SO-100 Uliokusanywa (Kawaida | Kiongozi 1 + Mfuasi 1) \/ Mweusi","offer_id":48384605356256,"sku":"wow-so-arm100-9","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3A: Mkono wa SO-100 Uliokusanywa (Kawaida | Kiongozi 1 + Mfuasi 1) \/ Nyeupe","offer_id":48384605389024,"sku":"wow-so-arm100-10","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3A: Mkono wa SO-100 Uliokusanywa (Kawaida | Kiongozi 1 + Mfuasi 1) \/ Bluu","offer_id":48384605421792,"sku":"wow-so-arm100-11","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3A: Mkono wa SO-100 Uliokusanywa (Kawaida | Kiongozi 1 + Mfuasi 1) \/ Machungwa","offer_id":48384605454560,"sku":"wow-so-arm100-12","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3B: SO-100 Arm Iliyokusanywa (Toleo la Wakusanyaji – Nyeupe + Nembo | Kiongozi 1 + Mfuasi 1) \/ Nyeupe","offer_id":48384605487328,"sku":"wow-so-arm100-13","price":539.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/009.jpg?v=1765115917"},{"product_id":"so-arm101-diy-kit-assembled-version-1","title":"WowRobo Robotics SO-ARM101 Kifurushi cha Mkono wa Roboti DIY \u0026 Kimekusanywa Kikamilifu | LeRobot Chanzo Huria, Servos 12 ST3215","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eRoboti ya WowRobo Robotics SO-ARM101 inategemea mradi wa LeRobot wa chanzo wazi kutoka Hugging Face na inapatikana kwa chaguzi mbili: Kifaa cha DIY na Toleo Lililokusanywa Kabisa. Chagua kujenga mfumo mwenyewe kwa ajili ya kujifunza kwa vitendo, au chagua chaguo lililojengwa tayari, lililopimwa kwa matumizi ya haraka.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKifaa cha DIY\u003c\/strong\u003e: Kinajumuisha vipengele vinavyohitajika kukusanya roboti mwenyewe—ni bora kwa wapenzi na wapenzi wa hobby wanaotaka kujifunza kwa kujenga kutoka mwanzo.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eToleo Lililokusanywa Kabisa\u003c\/strong\u003e: Inatumwa ikiwa imejengwa tayari na kupimwa. Hakuna mkusanyiko unaohitajika—fungua, weka, na anza kuchunguza roboti.\u003c\/p\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eImejengwa kwenye stack ya chanzo wazi ya LeRobot (Hugging Face).\u003c\/li\u003e\n\u003cli\u003eInapatikana kama Kifaa cha DIY au Toleo Lililokusanywa Kabisa ili kukidhi mahitaji tofauti.\u003c\/li\u003e\n\u003cli\u003eSeti ya servo inayofanana katika vifurushi vyote: servos 12 pcs Feetech ST3215 kwa kila mkono.\u003c\/li\u003e\n\u003cli\u003eSehemu za PLA+ za ubora wa juu zinajumuishwa katika vifurushi vyote.\u003c\/li\u003e\u003cli\u003eTofauti za vifaa na huduma kwa kifurushi (angalia Maelezo ya Kiufundi).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMaelezo ya Kiufundi\u003c\/h2\u003e\u003ch3\u003eUsanidi wa servo (kwa mkono)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eC001 (7.4V, 1\/345): vipande 1\u003c\/li\u003e\n\u003cli\u003eC044 (7.4V, 1\/191): vipande 2\u003c\/li\u003e\n\u003cli\u003eC046 (7.4V, 1\/147): 3 pcs\u003c\/li\u003e\n\u003cli\u003eC018 (12V, 1\/345): 6 pcs\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eMaudhui ya kifurushi\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eKifurushi 1\u003c\/th\u003e\n\u003cth\u003eKifurushi 2\u003c\/th\u003e\n\u003cth\u003eKifurushi 3\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eFeetech ST3215 servos (jumla)\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003ctd\u003e12 pcs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSehemu zilizochapishwa kwa ubora wa juu PLA+\u003c\/td\u003e\n\u003ctd\u003eImepatikana\u003c\/td\u003e\n\u003ctd\u003eImepatikana\u003c\/td\u003e\n\u003ctd\u003eImepatikana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWaveshare servo adapter\u003c\/td\u003e\n\u003ctd\u003eHaijajumuishwa\u003c\/td\u003e\n\u003ctd\u003e2 vitengo\u003c\/td\u003e\n\u003ctd\u003e2 vitengo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdapta mbili za nguvu (12V8A \u0026amp; 5V6A)\u003c\/td\u003e\n\u003ctd\u003eHaijajumuishwa\u003c\/td\u003e\n\u003ctd\u003e1 set\u003c\/td\u003e\n\u003ctd\u003e1 set\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eClamp iliyosimama yenye umbo la C\u003c\/td\u003e\n\u003ctd\u003eHaijajumuishwa\u003c\/td\u003e\n\u003ctd\u003e4 vitengo\u003c\/td\u003e\n\u003ctd\u003e4 vitengo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u0026\n\u003ctd\u003e1.5m Kebuli za data za Dual-Type-C\u003c\/td\u003e\n\u003ctd\u003eHazijajumuishwa\u003c\/td\u003e\n\u003ctd\u003eKebuli 2\u003c\/td\u003e\n\u003ctd\u003eKebuli 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera ya mikono ya 2M pixels\u003c\/td\u003e\n\u003ctd\u003eHazijajumuishwa\u003c\/td\u003e\n\u003ctd\u003eKitengo 1\u003c\/td\u003e\n\u003ctd\u003eKitengo 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHuduma ya kukamilisha mkusanyiko na kalibra\u003c\/td\u003e\n\u003ctd\u003eHazijajumuishwa\u003c\/td\u003e\n\u003ctd\u003eHazijajumuishwa\u003c\/td\u003e\n\u003ctd\u003eImepatikana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch3\u003eHabari za usafirishaji\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eKifurushi\u003c\/th\u003e\n\u003cth\u003eVipimo\u003c\/th\u003e\n\u003cth\u003eUzito halisi\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 1\u003c\/td\u003e\n\u003ctd\u003e34cm x 29cm x 17cm\u003c\/td\u003e\n\u003ctd\u003e2KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 2\u003c\/td\u003e\n\u003ctd\u003e34cm x 30cm x 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKifurushi 3\u003c\/td\u003e\n\u003ctd\u003e42cm x 27cm x 25cm\u003c\/td\u003e\n\u003ctd\u003e5KG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eNasibu ya Servo Motor\u003c\/h2\u003e\u003cp\u003eMotors za servo ni vipengele vinavyoweza kuharibika.Ili kupunguza muda wa kusubiri na ucheleweshaji wa usafirishaji, inashauriwa kununua servos 1–2 za ziada pamoja na agizo lako—hasa kwa nafasi za mikono ya kufuata. Rejea: \u003ca href=\"https:\/\/shop.wowrobo.com\/products\/feetech-sts3215-servo-12v-30kg-high-torque-servo-for-so-arm100\" rel=\"noopener\" target=\"_blank\"\u003ekiungo cha servo\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eUsaidizi \u0026na Jamii\u003c\/h2\u003e\u003cp\u003eJiunge na jamii ya \u003ca href=\"https:\/\/discord.gg\/dhTGTvJQC4\" rel=\"noopener\" target=\"_blank\"\u003eDiscord yenye shughuli\u003c\/a\u003e kwa vidokezo vya usanidi na msaada kutoka kwa roboti wengine. Kwa msaada wa agizo au kiufundi, wasiliana na huduma kwa wateja kwa https:\/\/rcdrone.top\/ au barua pepe support@rcdrone.top.\u003c\/p\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003cimg alt=\"WowRobo SO-ARM101 Robot Arm, SO-ARM101 offers three packages; only Package 3 includes full assembly and calibration, others require self-assembly with partial parts.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/WowRobo-SO-ARM101-Robot-Arm-6PvK9.webp?v=1765118208\"\u003e\u003cp\u003eSO-ARM101 inatoa pakiti tatu zenye vitu tofauti: servos, sehemu zilizochapishwa, adapters, nyaya, clamps, kamera, na huduma ya mkusanyiko. Pakiti ya 3 inatoa mkusanyiko kamili na kalibrishaji; zingine zinahitaji mkusanyiko wa kibinafsi na sehemu za sehemu zilizojumuishwa.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Kifurushi 1: Sehemu za Kuchapishwa na Servos 12 \/ Mweusi","offer_id":48384608305376,"sku":"wow-so-arm101-1","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu za Kuchapishwa na Servos 12 \/ Nyeupe","offer_id":48384608338144,"sku":"wow-so-arm101-2","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu za Kuchapishwa na Servos 12 \/ Bluu","offer_id":48384608370912,"sku":"wow-so-arm101-3","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 1: Sehemu za Kuchapishwa na Servos 12 \/ Orange","offer_id":48384608403680,"sku":"wow-so-arm101-4","price":359.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Kifaa Kisichokusanywa kwa Mikono ya SO-101 (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Mweusi","offer_id":48384608436448,"sku":"wow-so-arm101-5","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Kifaa Kisichokusanywa kwa Mikono ya SO-101 (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Nyeupe","offer_id":48384608469216,"sku":"wow-so-arm101-6","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Kifaa Kisichokusanywa kwa Mikono ya SO-101 (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Bluu","offer_id":48384608501984,"sku":"wow-so-arm101-7","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: Kifaa Kisichokusanywa kwa Mikono ya SO-101 (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Orange","offer_id":48384608534752,"sku":"wow-so-arm101-8","price":469.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3: Mikono ya SO-101 Iliyokusanywa (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Mweusi","offer_id":48384608567520,"sku":"wow-so-arm101-9","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3: Mikono ya SO-101 Iliyokusanywa (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Nyeupe","offer_id":48384608600288,"sku":"wow-so-arm101-10","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3: Mikono ya SO-101 Iliyokusanywa (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Bluu","offer_id":48384608633056,"sku":"wow-so-arm101-11","price":539.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3: Mikono ya SO-101 Iliyokusanywa (1 Kiongozi + 1 Mfuasi + 1 kamera) \/ Orange","offer_id":48384608665824,"sku":"wow-so-arm101-12","price":539.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/101main-01.jpg?v=1765117613"},{"product_id":"xlerobot-dual-arm-mobile-household-robot-kit","title":"WowRobo Robotics XLeRobot 0.3.0 Kifurushi cha Roboti ya Nyumbani yenye Mikono Miwili – Jukwaa la STEM la AI ya Chanzo Huria","description":"\u003ch2 data-start=\"129\" data-end=\"142\"\u003eMuhtasari\u003c\/h2\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003eXLeRobot 0.3.0 ni seti ya roboti ya kaya ya simu yenye mikono miwili ambayo ni ya chanzo wazi iliyoundwa ili kufanya AI iliyo na mwili kuwa ya bei nafuu na ya vitendo. Imejengwa kwa sehemu za kuchapishwa kwa 3D na vifaa vya moduli, ni bora kwa maonyesho, elimu ya STEM na utafiti wa kisasa katika roboti, VLA na kujifunza kwa nguvu. WowRobo inatoa seti kamili ya vifaa na msaada wa utengenezaji, wakati tovuti rasmi ya mradi (xlerobot.readthedocs.io) inatoa nyaraka za kina na mifano.\u003c\/p\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003eVideo ya ufungaji wa vifaa hatua kwa hatua:\u003c\/p\u003e\n\u003cp data-start=\"143\" data-end=\"702\"\u003e\u003ciframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/upB1CEFeOlk?si=7I0W9szkoeHaQ52-\" title=\"YouTube video player\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 data-start=\"704\" data-end=\"729\"\u003eXLeRobot ni wa nani?\u003c\/h2\u003e\n\u003cul data-start=\"730\" data-end=\"1211\"\u003e\n\u003cli data-start=\"730\" data-end=\"812\"\u003e\n\u003cp data-start=\"732\" data-end=\"812\"\u003eKampuni zinazohitaji jukwaa la bei nafuu na la moduli kwa ajili ya prototyping ya haraka ya bidhaa.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"813\" data-end=\"886\"\u003e\n\u003cp data-start=\"815\" data-end=\"886\"\u003eWatengenezaji wa DIY wanaotaka kujenga roboti yao ya kwanza ya kaya ya simu.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"887\" data-end=\"977\"\u003e\n\u003cp data-start=\"889\" data-end=\"977\"\u003eWalimu wa STEM wanaoleta mikono halisi ya roboti na AI iliyo na mwili katika madarasa na warsha.\u003c\/p\u003e\u003c\/li\u003e\n\u003cli data-start=\"978\" data-end=\"1102\"\u003e\n\u003cp data-start=\"980\" data-end=\"1102\"\u003eWanafunzi wa chuo kikuu huru na watafiti wanaotafuta jukwaa la kimwili la bei nafuu kwa majaribio ya robotics\/AI.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1103\" data-end=\"1211\"\u003e\n\u003cp data-start=\"1105\" data-end=\"1211\"\u003eMaabara za robotics za chuo kikuu zinatafsiri algorithimu za VLA na RL kuwa matumizi halisi, yanayomzingatia mwanadamu.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"1213\" data-end=\"1249\"\u003eMaelezo Muhimu Kabla ya Kununua\u003c\/h2\u003e\n\u003cp data-start=\"1250\" data-end=\"1499\"\u003eIntelligence iliyojumuishwa kwa roboti za nyumbani bado ni teknolojia inayoibuka na haiwezi bado kutoa huduma za nyumbani za kiotomatiki kabisa. XLeRobot ni \u003cstrong data-start=\"1388\" data-end=\"1456\"\u003ejukwaa la maendeleo la AI lililo na mikono miwili la matumizi ya jumla\u003c\/strong\u003e, si kifaa cha watumiaji kinachoweza kuunganishwa na kucheza.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1951\"\u003eWanunuzi wanapaswa kuwa na uzoefu wa msingi na Linux (Ubuntu), maendeleo ya macOS, GitHub na Python. Waanza wanaweza kuanza ndani ya takriban wiki moja wakitumia mafunzo ya mtandaoni na wasaidizi wa AI, lakini tunapendekeza kwa nguvu kusoma nyaraka rasmi na kujaribu maonyesho ya simulation ya ManiSkill kwenye tovuti ya XLeRobot kabla ya kuagiza.Ikiwa hujawahi kutumia Ubuntu, unaweza kufuata mafunzo ya jamii ili kuisakinisha kama mfumo wa kuanzisha mara mbili kwenye PC yako ya Windows.\u003c\/p\u003e\n\u003ch2 data-start=\"1953\" data-end=\"1988\"\u003eVifaa vya Kudhibiti (Havijajumuishwa)\u003c\/h2\u003e\n\u003cp data-start=\"1989\" data-end=\"2101\"\u003eKit hiki hakijumuishi kifaa chochote cha kudhibiti. Tovuti rasmi ya XLeRobot inatoa mfano wa msimbo wa kudhibiti kwa:\u003c\/p\u003e\n\u003cul data-start=\"2103\" data-end=\"2180\"\u003e\n\u003cli data-start=\"2103\" data-end=\"2115\"\u003e\n\u003cp data-start=\"2105\" data-end=\"2115\"\u003eKeyboard\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2116\" data-end=\"2132\"\u003e\n\u003cp data-start=\"2118\" data-end=\"2132\"\u003eXbox gamepad\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2133\" data-end=\"2160\"\u003e\n\u003cp data-start=\"2135\" data-end=\"2160\"\u003eNintendo Switch Joy-Con\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2161\" data-end=\"2180\"\u003e\n\u003cp data-start=\"2163\" data-end=\"2180\"\u003eMeta Quest 3 VR\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2182\" data-end=\"2370\"\u003ePia unaweza kutumia mfumo rasmi wa kudhibiti mikono wa Hugging Face (mikono ya mkuu inunuliwe kando). Tafadhali chagua na nunua vidhibiti vyako kulingana na mahitaji yako.\u003c\/p\u003e\n\u003ch2 data-start=\"2372\" data-end=\"2416\"\u003eChanzo cha Nguvu na Trolly (Havijajumuishwa)\u003c\/h2\u003e\n\u003cul data-start=\"2417\" data-end=\"2807\"\u003e\n\u003cli data-start=\"2417\" data-end=\"2651\"\u003e\n\u003cp data-start=\"2419\" data-end=\"2651\"\u003eHakuna betri au benki ya nguvu iliyojumuishwa.Tunapendekeza benki ya nguvu ya USB-C yenye nguvu kubwa au usambazaji wa nguvu wa simu wenye \u003cstrong data-start=\"2528\" data-end=\"2557\"\u003eangalau bandari mbili za Type-C\u003c\/strong\u003e, kila moja ikisaidia \u003cstrong data-start=\"2575\" data-end=\"2607\"\u003ekuchaji haraka 65 W au zaidi\u003c\/strong\u003e, na \u003cstrong data-start=\"2615\" data-end=\"2648\"\u003ejumla ya pato la 140 W au zaidi\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2652\" data-end=\"2807\"\u003e\n\u003cp data-start=\"2654\" data-end=\"2807\"\u003eKwa msingi wa simu, inashauriwa kununua \u003cstrong data-start=\"2713\" data-end=\"2742\"\u003etrolly kubwa ya asili ya IKEA Råskog\u003c\/strong\u003e ili kuhakikisha ufanano wa mitambo na vifaa vya XLeRobot.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"2809\" data-end=\"2845\"\u003eKifaa cha Kompyuta (Hakijajumuishwa)\u003c\/h2\u003e\n\u003cp data-start=\"2846\" data-end=\"2894\"\u003eKifaa hiki hakijajumuisha kifaa chochote cha kompyuta.\u003c\/p\u003e\n\u003cul data-start=\"2896\" data-end=\"3351\"\u003e\n\u003cli data-start=\"2896\" data-end=\"3071\"\u003e\n\u003cp data-start=\"2898\" data-end=\"3071\"\u003eWaendelezaji wa kawaida wanaweza kutumia laptop zao wenyewe (GPU ya NVIDIA RTX 30-series au bora zaidi inashauriwa) kuendesha maono ya juu, uelewa wa VLA na algorithimu za RL.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3072\" data-end=\"3351\"\u003e\n\u003cp data-start=\"3074\" data-end=\"3351\"\u003eWatumiaji wa juu wanaweza kuchagua Raspberry Pi, bodi za maendeleo za ndani za ARM, au moduli za kompyuta huru kama \u003cstrong data-start=\"3177\" data-end=\"3199\"\u003eNVIDIA Jetson Orin\u003c\/strong\u003e au \u003cstrong data-start=\"3203\" data-end=\"3225\"\u003eNVIDIA Jetson Thor\u003c\/strong\u003e.Katika hali hizi, unawajibika kwa usakinishaji wa OS, usanidi na kutoa nguvu thabiti kwa vifaa vya kompyuta.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"3353\" data-end=\"3384\"\u003eChaguzi za Kifurushi \u0026na Maudhui\u003c\/h2\u003e\n\u003cp data-start=\"3386\" data-end=\"3442\"\u003e\u003cstrong data-start=\"3386\" data-end=\"3440\"\u003eKifurushi 1: XLeRobot Roboti ya Mikono Miwili (Kifaa kilichokusanywa)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3443\" data-end=\"3642\"\u003e\n\u003cli data-start=\"3443\" data-end=\"3555\"\u003e\n\u003cp data-start=\"3445\" data-end=\"3555\"\u003eSO-ARM101 mkono wa kufuata mkusanyiko ×2 (servos za 12 V zenye nguvu kubwa, grippers zilizoboreshwa za TPU, sleeves na nyaya za data)\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3556\" data-end=\"3581\"\u003e\n\u003cp data-start=\"3558\" data-end=\"3581\"\u003eModuli ya kamera ya 2 MP ×2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3582\" data-end=\"3612\"\u003e\n\u003cp data-start=\"3584\" data-end=\"3612\"\u003eUgavi wa nguvu wa 12 V \/ 8 A ×2\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3613\" data-end=\"3642\"\u003e\n\u003cp data-start=\"3615\" data-end=\"3642\"\u003eservo ya 12 V \/ 3215-C018 ×5\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3644\" data-end=\"3702\"\u003e\u003cstrong data-start=\"3644\" data-end=\"3700\"\u003eKifurushi 2: Upanuzi wa Msingi wa XLeRobot (Kifaa kisichokusanywa)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3703\" data-end=\"3869\"\u003e\n\u003cli data-start=\"3703\" data-end=\"3746\"\u003e\n\u003cp data-start=\"3705\" data-end=\"3746\"\u003e85 mm gurudumu la ulimwengu wote + coupler ×3 seti\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3747\" data-end=\"3772\"\u003e\n\u003cp data-start=\"3749\" data-end=\"3772\"\u003eModuli ya kamera ya 2 MP ×1\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3773\" data-end=\"3869\"\u003e\n\u003cp data-start=\"3775\" data-end=\"3869\"\u003eKifurushi kamili cha sehemu za PLA za ubora wa juu zilizochapishwa kwa 3D, viscrew, viti vya screw, wiring na fasteners\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"3871\" data-end=\"3935\"\u003e\u003cstrong data-start=\"3871\" data-end=\"3933\"\u003eKifurushi 3: Combo – Mikono Miwili + Upanuzi wa Msingi (Kifurushi 1+2)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"3936\" data-end=\"4014\"\u003e\n\u003cli data-start=\"3936\" data-end=\"4014\"\u003e\u003cp data-start=\"3938\" data-end=\"4014\"\u003eInajumuisha \u003cstrong data-start=\"3947\" data-end=\"3989\"\u003evitu vyote kutoka Kifurushi 1 na Kifurushi 2\u003c\/strong\u003e kwa punguzo la kifurushi\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"4016\" data-end=\"4142\"\u003e\u003cstrong data-start=\"4016\" data-end=\"4026\"\u003eMaelezo:\u003c\/strong\u003e Kifurushi hazijumuishi \u003cstrong data-start=\"4039\" data-end=\"4046\"\u003esi\u003c\/strong\u003e pamoja na trolley ya IKEA, Raspberry Pi, betri, au Intel RealSense (au kamera nyingine za kina).\u003c\/p\u003e\u003cp data-start=\"4144\" data-end=\"4383\" data-is-last-node=\"\" data-is-only-node=\"\"\u003eKwa kutumia mfumo wa programu wa chanzo wazi, muundo wa mikono miwili wa moduli na msingi wa rununu unaoweza kupanuliwa, WowRobo Robotics XLeRobot 0.3.0 ni jukwaa bora kwa yeyote anayejihusisha kwa dhati na AI iliyo na mwili, usimamizi wa rununu na roboti za nyumbani za kizazi kijacho.\u003c\/p\u003e","brand":"WowRobo Robotics","offers":[{"title":"Kifurushi 1: XLeRobot Roboti ya Mikono Miwili (Kifaa kilichokusanywa)","offer_id":48384613777632,"sku":"wow-xlerobot-1","price":629.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 2: XLeRobot Msingi wa Upanuzi (Kifaa Kisichokusanywa)","offer_id":48384613810400,"sku":"wow-xlerobot-2","price":429.0,"currency_code":"USD","in_stock":true},{"title":"Kifurushi 3: Combo – Mikono Miwili + Upanuzi wa Msingi (Kifurushi 1+2)","offer_id":48384613843168,"sku":"wow-xlerobot-3","price":1039.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/en-01.jpg?v=1765118684"},{"product_id":"robstride-edulite-a3-arm","title":"ROBSTRIDE Edulite A3 Mkono wa Roboti, Mkono wa Roboti wa Mezani wa 6-DOF + Kifaa cha Kushika, ROS2\/Python, CAN 2.0 1Mbps","description":"\u003cdiv\u003e\u003cvideo autoplay=\"autoplay\" controls=\"controls\" loop=\"loop\" muted=\"\" playsinline=\"\" src=\"https:\/\/cdn.shopify.com\/videos\/c\/o\/v\/5e3467b7fdbb419b95cf0023d6dcafeb.mp4\" style=\"width:100%;height:auto;display:block;\"\u003e\n    Kivinjari chako hakisaidii lebo ya video.\n  \u003c\/video\u003e\u003ch2\u003eMuhtasari\u003c\/h2\u003e\n\u003cp\u003eRoboti ya ROBSTRIDE Edulite A3 ni mkono wa roboti wa desktop wenye DOF 6 + jukwaa la kushika lililoundwa kwa ajili ya maendeleo ya ROS2 \/ Python, kupanga mwendo, na ufundishaji wa mwingiliano. Inasaidia udhibiti wa nguvu-na-nafasi \/ udhibiti wa nafasi, mawasiliano ya kuendesha CAN 2.0 (1Mbps), na ufundishaji wa kuvuta ulio na fidia ya mvuto kwa ajili ya usimamizi laini na sahihi.\u003c\/p\u003e\n\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMuundo wa mfumo:\u003c\/strong\u003e ROS2 \/ Python \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtokali ya kuendesha:\u003c\/strong\u003e Protokali ya CAN 2.0 ya Lingzu Times (1Mbps) \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUdhibiti wa mwendo:\u003c\/strong\u003e Mpango wa njia ya S-curve wa sehemu 7 + feedforward ya kasi + kuchuja kwa hatua nyingi za chini kwa mwendo laini, ulio na mshtuko mdogo \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFidia ya mvuto:\u003c\/strong\u003e Fidia ya mvuto inayotegemea dynamics ya Pinocchio; mfano kamili wa dynamics kulingana na RNEA; inasaidia kalibrishaji ya kiotomatiki ya vigezo vya inerti (vigezo 12, R2  \u0026gt; 0.99) kwa ufundishaji sahihi wa kuvuta \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNjia za uendeshaji:\u003c\/strong\u003e Udhibiti wa wakati halisi wa kidhibiti cha Xbox Cartesian (50 Hz \/ kasi 5 zinazoweza kubadilishwa); teleoperesheni ya bwana-mtumwa (moja-kwa-mengi \/ mengi-kwa-mengi) \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUlinzi wa usalama:\u003c\/strong\u003e Ugunduzi wa pekee na urejeleaji wa kiotomatiki; ulinzi wa mipaka laini na ngumu ya viungo; ugunduzi wa kujigongana na kugongana na mazingira \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKazi za kiwango cha juu:\u003c\/strong\u003e Mpango wa mwendo wa MoveIt2 na kuepuka vizuizi; kiolesura cha udhibiti wa kuona kinachotumia wavuti \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNjia ya torque sifuri:\u003c\/strong\u003e Ufundi wa kuvuta ulio na uzito wa mvutano na teleoperesheni safi ya torque sifuri ya bwana-mtumwa; marekebisho ya damping ya viungo huru \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eZana za kazi:\u003c\/strong\u003e Mipangilio ya mazingira kwa kubofya moja; kalibrishaji ya inertia kiotomatiki; kuona kwa mbali kwa Foxglove (mara kwa mara ya udhibiti 200 Hz); kubadilisha bila mshono kati ya simulation na roboti halisi; kipengele cha mwisho kinachoweza kubadilishwa \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaelezo ya kiufundi\u003c\/h2\u003e\n\u003cdiv style=\"overflow-x:auto;\"\u003e\u003ctable style=\"width:100%;border-collapse:collapse;min-width:680px;\"\u003e\u003cthead\u003e\u003ctr\u003e\n\u003cth style=\"text-align:left;border-bottom:1px solid #ddd;padding:10px;\"\u003eParameta\u003c\/th\u003e\n\u003cth style=\"text-align:left;border-bottom:1px solid #ddd;padding:10px;\"\u003eThamani\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eJina la Bidhaa\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eEdulite A3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eAina\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003e6-DOF mkono wa roboti wa mezani + gripper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMuundo wa Mfumo\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eROS2 \/ Python\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eProtokali ya Kuendesha\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eLingzu Times miliki CAN 2.0 itifaki (1Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMotors za Kuendesha\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eRobStride00 motor, EduLite05 motor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eNjia ya Kudhibiti\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUdhibiti wa nguvu-na-nafasi \/ Udhibiti wa nafasi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUwezo wa Mzigo (bila gripper)\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eImepangwa 500g, kilele 1kg (mkao wa kawaida)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUpeo wa Kufikia\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003e400mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eVipengele Muhimu\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUdhibiti wa mwendo wa wazi, wa usahihi wa juu: mipango ya njia ya S-curve ya sehemu 7 + feedforward ya kasi + kuchuja kwa hatua nyingi za chini kwa mwendo laini na usio na mshtuko\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eKurekebisha Uzito\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eKurekebisha uzito kulingana na dynamics ya Pinocchio, mfano kamili wa dynamics kulingana na RNEA, inasaidia kalibrishaji kiotomatiki cha vigezo vya inerti (vigezo 12, R2 \u0026gt; 0.99), inaruhusu kufundisha kwa usahihi kwa kuvuta\u003c\/td\u003e \n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eNjia ya Uendeshaji\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUdhibiti wa nafasi ya Cartesian kwa kutumia kidhibiti cha Xbox kwa wakati halisi (50Hz \/ kasi 5 inayoweza kubadilishwa), uendeshaji wa teleoperesheni wa bwana-mtumwa (moja-kwa-mengi \/ mengi-kwa-mengi)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUlinzi wa Usalama\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eUgunduzi wa pekee na urejeleaji wa kiotomatiki, ulinzi wa mipaka laini na ngumu ya viungo, ugunduzi wa kujigongana na kugongana na mazingira\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eKazi za Juu\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMpango wa harakati wa MoveIt2 na kuepuka vizuizi, kiolesura cha udhibiti kinachotumia wavuti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eNjia ya Zero-Torque\u003c\/td\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eInasaidia kufundisha kwa kuvuta kwa kuzingatia mvutano na uendeshaji wa teleoperesheni wa bwana-mtumwa wa zero-torque; marekebisho huru ya damping ya viungo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eZana za Kazi\u003c\/td\u003e\u003ctd style=\"border-bottom:1px solid #eee;padding:10px;\"\u003eMipangilio ya mazingira kwa kubofya moja, kalibrasi ya inertia kiotomatiki, uonyeshaji wa mbali wa Foxglove (mara ya kudhibiti 200 Hz), msaada wa kubadilisha bila mshono kati ya simulation na roboti halisi, kipengele cha mwisho kinachoweza kubadilishwa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003c\/div\u003e\n\u003ch2\u003eMaelekezo\u003c\/h2\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0673\/6848\/5000\/files\/Ti5_Arm_Series-Product_Manual.pdf?v=1758180747\" rel=\"noopener\" target=\"_blank\"\u003eTi5 Arm Series - Mwongozo wa Bidhaa (PDF)\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003eKwa msaada wa mauzo na uunganisho wa roboti ya Edulite A3, wasiliana na support@rcdrone.top or tembelea https:\/\/rcdrone.top\/.  \u003c\/p\u003e\u003c\/div\u003e\u003ch2 id=\"details\"\u003eMaelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"ROBSTRIDE Edulite A3 robot arm with gripper end effector, angled view with EDULITE A3 branding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm.png?v=1779550879\"\u003e\u003cp\u003eRoboti ya mkono ya desktop yenye DOF 6 compact + jukwaa la kushika lililojengwa kwa ajili ya maendeleo ya ROS2\/Python, mipango ya mwendo, na ufundishaji wa vitendo.\u003c\/p\u003e\n\u003cimg alt=\"Edulite A3 desktop robotic arm on workbench, orange-and-black 6-axis arm with parallel gripper\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm.jpg?v=1779550888\"\u003e\u003cp\u003eImepangwa kwa ajili ya maabara ya benchtop na madarasa, ikiwa na msingi thabiti na gripper iliyounganishwa kwa ajili ya maonyesho ya manipulering na miradi.\u003c\/p\u003e\n\u003cimg alt=\"Edulite A3 product parameters chart listing ROS2\/Python framework, CAN 2.0 (1 Mbps), payload, and 400 mm reach\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm_6cc4a2a5-2dd8-4f83-9035-6a3ef5867651.png?v=1779550895\"\u003e\n\u003c\/div\u003e","brand":"ROBSTRIDE","offers":[{"title":"Edulite A3","offer_id":52686849376480,"sku":"ROBSTRIDE_Edu_817e1e-1","price":1114.75,"currency_code":"USD","in_stock":true},{"title":"Kifaa cha Uendeshaji","offer_id":52686849409248,"sku":"ROBSTRIDE_Edu_817e1e-2","price":919.25,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/ROBSTRIDE-Edulite-A3-Robot-Arm-6-DOF-Desktop-Robotic-Arm.jpg?v=1779550982"},{"product_id":"yahboom-dofbot-ai-robot-arm","title":"Yahboom DOFBOT AI Kifurushi cha Mkono wa Roboti wa Mtazamo kwa Raspberry Pi 5, ROS2 Humble, Python3, Kamera ya USB","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eYahboom DOFBOT AI Large Model Vision Robotic Arm ni kifaa cha mkono wa roboti cha mezani kilichoundwa kwa ajili ya maendeleo ya ROS2 na kujifunza maono ya AI kwenye Raspberry Pi 5. Kinaunganisha mkono wa roboti wa 6-DOF na kamera ya USB kwa ajili ya kushika, kufuatilia, na maombi ya AI ya maingiliano yanayotegemea maono, na inasaidia programu kwa Python3, OpenCV, na ROS2 Humble (Docker + ROS2 Humble imetajwa).\u003c\/p\u003e\u003cp\u003eInasaidia udhibiti wa majukwaa mbalimbali ikiwa ni pamoja na APP ya simu (iOS\/Android), udhibiti wa kompyuta mwenyeji ya PC, udhibiti wa kidhibiti\/kishikio, na programu ya mtandao ya JupyterLab.\u003c\/p\u003e\u003ch3\u003eVideo\u003c\/h3\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/cVIAQJe-gYc\" title=\"What can Yahboom ai large model robotic arm do for you\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/chOXNSaNxSg\" title=\"Yahboom DOFBOT video\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDigrii 6 za uhuru\u003c\/strong\u003e na ujumuishaji wa kamera + mkono wa roboti (\"6-DOF Camera and Robotic Arm 2 in 1\").\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVipengele vya modeli kubwa ya AI\u003c\/strong\u003e (kama ilivyoelezwa): fusion ya multimodal, mazungumzo ya hotuba ya asili, uelewa wa semantiki ya maandishi, uelewa wa eneo la kuona, na msingi wa maarifa wa RAG unaoweza kupanuliwa.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eMwingiliano wa maono ya AI\u003c\/strong\u003e: utambuzi wa rangi, ufuatiliaji wa vitu, mwingiliano unaohusiana na ishara, maonyesho ya kushika\/kupanga, na zaidi.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStack ya maendeleo ya ROS2\u003c\/strong\u003e: ROS2 Humble (imetajwa kama “ROS2 Humble” na “Docker+ROS2 Humble”), na upangaji wa mwendo wa MoveIt na simulizi ya roboti ya RViz imetajwa.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMifumo ya algorithimu iliyoorodheshwa\u003c\/strong\u003e: algorithimu ya kinematics ya nyuma, YOLOv11, OpenCV, MediaPipe; Uharakishaji wa TensorRT umetajwa kwa utambuzi wa wakati halisi wa kiwango cha millisekunde.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUbunifu wa vifaa vya kirafiki kwa mtumiaji\u003c\/strong\u003e: Onyesho la OLED kwa anwani ya IP na taarifa za CPU ya Raspberry Pi; chasi yenye vikombe vya kunyonya kwa uthabiti; adapta ya 12V 5A kwa nguvu endelevu.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUwezo wa Kupanuka\u003c\/strong\u003e: bodibodi ya upanuzi iliyoelezwa kuwa inaoana na Jetson NANO, Raspberry Pi, Arduino, na Micro:bit; miingiliano iliyohifadhiwa ni pamoja na 6 bus-servo + 6 PWM-servo, kipokezi cha kidhibiti kisichotumia waya, moduli ya WiFi\/Bluetooth, I2C, na miingiliano ya moduli ya ultrasonic.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBidhaa\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDOFBOT AI Modeli Kubwa ya Mkono wa Roboti wa Kuona\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiwango cha uhuru\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUrefu wa mkono\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e350 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKufungua-kufunga kwa gripper\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e6 cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUsahihi wa kurudia nafasi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e±0.5 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAina ya muundo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMuundo wa jadi wa mkono wa roboti\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKamera ya USB HD (a 0.Kamera ya 3MP imetajwa katika maandishi ya mafunzo yaliyotolewa)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKipimo cha kuona\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePicha ya ndege ya 2D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSauti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eModuli ya sauti ya AI kubwa + spika (imetajwa kwenye jedwali la mapendekezo\/maelezo)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnyesho\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMajukumu yaliyotajwa\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUdhibiti wa muunganiko; Upangaji wa mwendo wa MoveIt; Uigaji wa roboti wa RViz; Mwingiliano wa kuona wa 2D; mwingiliano wa sauti; AI kubwa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 (imetajwa katika vifaa vya bidhaa)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2712, 64-bit, 2.4GHz, Quad core Cortex A76\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eVideoCore VII @ 800MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eRaspberry Pi 5 dhidi ya Raspberry Pi 4B (jedwali la kulinganisha)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Broadcom BCM2712; Quad core Cortex-A76 (ARM v8\/64 bit SoC)\u003cbr\u003eRaspberry Pi 4B: Broadcom BCM2711; Quad core Cortex-A72 (ARM v8\/64 bit SoC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 800 MHz VideoCore VII; Inasaidia OpenGLES3.1, Vulkan 1.2\u003cbr\u003eRaspberry Pi 4B: 600 MHz VideoCore VI; Inasaidia OpenGLES3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKumbukumbu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: LPDDR4X-4267 SDRAM\u003cbr\u003eRaspberry Pi 4B: LPDDR4-3200 SDRAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUART\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Kiolesura cha UART kilichojitolea (3 pini JST)\u003cbr\u003eRaspberry Pi 4B: Hapana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiolesura cha feni\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Udhibiti wa PWM na Maoni ya tacho (4 pini JST)\u003cbr\u003eRaspberry Pi 4B: Hapana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiolesura cha USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 2xUSB Inasaidia 5Gbps Endesha kwa wakati mmoja; 2xUSB2.0 (nafasi ni ya kielelezo kwa PI4B)\u003cbr\u003eRaspberry Pi 4B: 2xUSB 3.0, 2x USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCSI interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 2x4lane MIPI Kamera Au Onyesho\u003cbr\u003eRaspberry Pi 4B: 1x2lane MIPI Kamera 15pin bandari\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDSI interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Kiolesura cha usafirishaji wa pande mbili 22pin bandari\u003cbr\u003eRaspberry Pi 4B: 1x2lane MIPI Onyesho 15pin bandari\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHDMI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eZote: 2 micro HDMI bandari\u003cbr\u003eRaspberry Pi 5: Inaweza kusaidia njia mbili 4Kp60 na HDR\u003cbr\u003eRaspberry Pi 4B: Inaweza kusaidia njia moja 4Kp60 au njia mbili 4Kp30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 1PCS PCIe2.0X1 kiolesura FPC kiunganishi\u003cbr\u003eRaspberry Pi 4B: Hapana\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiolesura cha sauti na video\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: Hakuna (Toa 0.1-pitch pads)\u003cbr\u003eRaspberry Pi 4B: Ndiyo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eIngizo la Nguvu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: 5V\/5A DC kupitia kiolesura cha USB-C (inaunga mkono PD); 5V\/5A DC kupitia kiolesura cha GPIO\u003cbr\u003eRaspberry Pi 4B: 5V\/3A DC kupitia kiolesura cha USB-C (PD haijaungwa mkono); 5V\/3A DC kupitia kiolesura cha GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eViolesura vingine\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5: POE hupitisha POEHAT mpya tofauti (mabadiliko ya eneo la bandari ya mtandao)\u003cbr\u003eRaspberry Pi 4B: POE kupitia POE HAT huru\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eTofauti za usanidi wa ROS (Toleo la Kawaida vs Toleo la Juu)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModuli ya sauti ya mfano mkubwa wa AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKawaida: \/\u003cbr\u003eJuu: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUchezaji wa Mfano Mkubwa wa AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKawaida: \/\u003cbr\u003eJuu: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaingiliano ya Kivisuali ya AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKawaida: ✓\u003cbr\u003eJuu: ✓\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSistimu ya ROS\u003c\/strong\u003e\u003c\/td\u003e\u003ctd\u003eDocker + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eInapendekezwa\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKiwango: Inafaa kwa kujifunza kazi za maono ya AI\u003cbr\u003eSuperior: Inafaa kwa kujifunza mifano mikubwa ya AI, mwingiliano wa sauti wa AI, na matumizi ya kazi za maono ya AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch2\u003eKilichojumuishwa\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eMkono wa roboti uliokusanywa\u003c\/li\u003e\n\u003cli\u003eRamani iliyochapishwa kwa rangi inayolingana\u003c\/li\u003e\n\u003cli\u003eVizuizi 4 vya rangi tofauti\u003c\/li\u003e\n\u003cli\u003eGamepad ya PS2\u003c\/li\u003e\n\u003cli\u003eKadi ya TF yenye mfumo wa picha\u003c\/li\u003e\n\u003cli\u003eKofia ya baridi maalum ya Yahboom\u003c\/li\u003e\n\u003cli\u003eAdapta ya nguvu ya 12V 5A\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eKumbuka: Kumbuka ya maonyesho inaonyesha \"Kibuyu cha takataka ni kipambo cha maonyesho na hakipo kwenye orodha ya usafirishaji.”\u003c\/p\u003e\u003ch2\u003eMatumizi\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eVipengele vya maono ya AI na mifano ya michezo iliyoorodheshwa: utambuzi wa ishara, utambuzi wa rangi, uwekaji wa kuona, upangaji wa taka, mchezo wa kukamata, ufuatiliaji wa uso, na upangaji wa vizuizi vya ujenzi.\u003c\/li\u003e\n\u003cli\u003eVipengele vya maingiliano ya maono ya AI vilivyoelezwa: ufuatiliaji wa utambuzi wa rangi; mchezo wa kukamata (eneo la utambuzi wa ramani); kukamata vizuizi vya rangi; mwingiliano wa rangi; upangaji wa taka; upangaji wa vizuizi vya rangi.\u003c\/li\u003e\n\u003cli\u003eMifano ya matumizi ya modeli kubwa ya njia nyingi iliyoorodheshwa: uchambuzi wa video; udhibiti wa mwendo wa amri ndefu; uendeshaji wa akili; upangaji wa nafasi ya 3D.\u003c\/li\u003e\n\u003cli\u003eUdhibiti wa simulizi wa MoveIt na upangaji wa njia (pamoja na utambuzi wa mgongano na kushika kwa anga) vimeorodheshwa kwa uthibitishaji wa mazingira halisi.\u003c\/li\u003e\n\u003cli\u003eMafunzo ya modeli ya kujifunza kwa kina yanaungwa mkono; kumbuka inaonyesha mafunzo ya modeli yanahitaji kufanywa na mtumiaji.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eViongozi\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Dofbot-Pi\" rel=\"noopener\" target=\"_blank\"\u003eYahboom DOFBOT-Pi mafunzo\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eKwa maswali kabla ya mauzo, uchaguzi wa toleo la kifaa, au msaada wa kiufundi, wasiliana support@rcdrone.top or tembelea https:\/\/rcdrone.top\/.  \u003c\/p\u003e\u003ch2 id=\"details\"\u003eMaelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"DOFBOT AI vision robotic arm kit recommendation chart with 6-DOF, 350mm reach, USB camera and ROS2 features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2.jpg?v=1782102831\"\u003e\u003cimg alt=\"DOFBOT SE spec table listing 6-DOF, 350mm arm span, ±0.5mm repeat accuracy, USB HD camera and AI voice options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_938f30be-765b-4e03-a085-b43c887a9bf7.jpg?v=1782102837\"\u003e\u003cimg alt=\"DOFBOT-PRO comparison chart highlighting 6-DOF, 350mm reach, depth camera option and ROS2 functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_56d71f92-c1bd-491f-89b7-3bb6d9d0b746.jpg?v=1782102843\"\u003e\u003cimg alt=\"JETCOBOT comparison chart showing 7-DOF, 270mm arm span and ROS2 MoveIt\/RViz capability summary\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_9028af0a-259a-4177-bf54-08328a74fee9.jpg?v=1782102850\"\u003e\u003cimg alt=\"Yahboom DOFBOT AI large model visual robotic arm with USB camera on desktop base for Raspberry Pi 5\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4ec968b1-bff3-4ae9-966d-fc3f6f4e8514.jpg?v=1782102857\"\u003e\u003cp\u003eDOFBOT inachanganya mkono wa roboti wa 6‑DOF na kamera ya USB kwa miradi ya maono ya Raspberry Pi 5, maonyesho ya kushika, na maendeleo ya ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview of DOFBOT: 6-DOF camera integration, AI large model functions, algorithms and tutorial resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_cdc82a1e-265b-4f87-901f-0e0e3df05bc0.jpg?v=1782102864\"\u003e\u003cp\u003eChaguo nyingi za udhibiti na maonyesho ya algorithimu yaliyojengwa ndani yanakusaidia kuhamia kutoka kwa udhibiti wa msingi wa servo hadi mwingiliano wa maono na mtiririko wa kazi wa AI.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 performance overview and Pi 5 vs Pi 4B comparison table for DOFBOT robotic arm control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_f11ce180-208f-4293-ac79-71edd4c5fe4d.jpg?v=1782102871\"\u003e\u003cp\u003eIliyoundwa kuzunguka nguvu ya kompyuta ya Raspberry Pi 5 kwa ROS2 Humble, Python3, na mtiririko wa kazi wa utambuzi wa maono wa wakati halisi.\u003c\/p\u003e\n\u003cimg alt=\"Quasi-3D spatial gameplay graphic for DOFBOT plus large model deployment flow for embodied intelligence\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_32d7b93f-5935-4278-a82e-9b3658f206d5.jpg?v=1782102879\"\u003e\u003cp\u003eMaonyesho ya anga ya Quasi‑3D yanaunganisha utambuzi wa kamera na mwendo wa mkono kwa matumizi ya akili iliyo na mwili.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model application demos: video analysis, long-command motion control, intelligent handling and sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4300bdcf-3f43-43e7-b958-3e7977e83ac2.jpg?v=1782102886\"\u003e\u003cp\u003eMaonyesho ya njia nyingi yanashughulikia udhibiti wa mwendo wa amri ndefu, utunzaji wa akili, na kazi za kupanga zinazoendeshwa na maono na maelekezo.\u003c\/p\u003e\u003cimg alt=\"Embodied intelligence demos: color blocks placement, visual tracking, garbage sorting and intent inference with DOFBOT\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fdcb824e-4866-4740-ab5b-9cfee9066ae2.jpg?v=1782102893\"\u003e\u003cp\u003eTumia kazi zilizojengwa ndani kama ufuatiliaji wa kuona, kupanga rangi, na kutambua nia ili kuunda mantiki yako ya roboti inayoshirikiana.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay grid: math, problem solving, nutrition analysis, spelling, Q\u0026amp;A and cooking interactions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0e2862c4-d0e8-4391-ad62-1e2cf3eeacf3.jpg?v=1782102900\"\u003e\u003cimg alt=\"AI vision interactive functions: color recognition tracking, catch game, grab blocks, gesture control and sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_c8e50ecd-7a36-4fe5-a804-1c037abefeeb.jpg?v=1782102907\"\u003e\u003cp\u003eMwingiliano wa maono wa mtindo wa OpenCV unajumuisha utambuzi wa rangi, ufuatiliaji, na taratibu za kushika kwa ajili ya kujifunza kwa vitendo.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe machine learning and deep learning training examples plus inverse kinematics algorithm for DOFBOT\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e6a12a81-f575-4dde-b8b3-8bbfc842c41c.jpg?v=1782102914\"\u003e\u003cp\u003eMediaPipe na mifano ya mafunzo huunganishwa na kinematics kinyume ili matokeo ya maono yatafsiriwe kuwa harakati sahihi za viungo.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt simulation control page with URDF, RViz visualization, trajectory planning, collision detection and spatial grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0293bef3-4b71-4683-b396-4f6276e125c7.jpg?v=1782102921\"\u003e\u003cp\u003eTengeneza na thibitisha mwendo na MoveIt na RViz kabla ya kuendesha njia kwenye mkono halisi.\u003c\/p\u003e\n\u003cimg alt=\"Robot Operating System overview with ROS2 Humble plus cross-platform remote control via app, PC and USB controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b2d377ee-5c2f-41df-bba6-b810f8043d5a.jpg?v=1782102928\"\u003e\u003cp\u003eChaguo za udhibiti wa majukwaa mbalimbali ni pamoja na programu ya simu, udhibiti wa mwenyeji wa PC, na kidhibiti cha waya cha USB, pamoja na msaada wa ROS2 Humble.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app gameplay features: gesture grasping, face recognition tracking (face blurred), and custom action group learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4edb4fa3-0dd8-475d-93f5-4be583b24c00.jpg?v=1782102935\"\u003e\u003cimg alt=\"6-DOF DOFBOT robotic arm with labeled joints J1-J6 and onboard USB camera for vision-guided grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_a921c03f-e0e3-4f64-9eac-f9ccd6ef94cf.jpg?v=1782102941\"\u003e\u003cp\u003eMpangilio wa viungo wa 6-DOF (J1–J6) unasaidia njia za kubadilika za kuchukua na kuweka na mwingiliano unaoongozwa na kamera.\u003c\/p\u003e\n\u003cimg alt=\"Hardware configuration callouts: bus servos, anodized aluminum, Raspberry Pi 5 option, cooler, control board and voice module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_6ebc0e1e-efa7-4bee-b4ac-50c508e11a96.jpg?v=1782102948\"\u003e\u003cp\u003eVifaa vinavyoweza kupanuliwa ni pamoja na bodi ya kudhibiti mkono, servos za basi, moduli ya sauti ya hiari na spika, pamoja na uwekaji wa Raspberry Pi 5.\u003c\/p\u003e\u003cimg alt=\"Yahboom DOFBOT robotic arm expansion board diagram with serial bus servo specs and labeled ports\/connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_2ee27246-873a-43bf-b09b-859b095d6ee8.jpg?v=1782102956\"\u003e\u003cp\u003eBodi ya upanuzi ya mkono wa roboti ya DOFBOT hutumia mpangilio wa bandari ulio na lebo na msaada wa servo ya basi la serial kusaidia kurahisisha usanidi wa wiring na udhibiti.\u003c\/p\u003e\n\u003cimg alt=\"USB camera and AI voice module kit for Yahboom DOFBOT robotic arm, showing 110° FOV 480p 30fps specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_596147ec-ef2f-40ca-8555-ea32c6abaf10.jpg?v=1782102962\"\u003e\u003cp\u003eKamera ya USB inafungwa kwenye mkono wa roboti na inajumuisha uwanja wa maoni wa 110° na azimio la 480p kwa 30fps, pamoja na moduli ya sauti ya AI (toleo bora) yenye bodi, spika, na wiring.\u003c\/p\u003e\n\u003cimg alt=\"Laptop screen showing Yahboom DOFBOT-Pi tutorial site for DOFBOT AI large model vision robotic arm courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_0ab371fe-c3c6-45a5-a4f1-1c1115ffa461.jpg?v=1782102968\"\u003e\u003cp\u003eHifadhi ya mafunzo ya Yahboom’s DOFBOT-Pi inatoa kiungo cha mafunzo na zaidi ya kozi 200+ zilizopangwa kwa ajili ya kujifunza mkono wa roboti wa DOFBOT.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT course syllabus table listing Raspberry Pi, ROS2 Humble, Python3 and vision AI lessons for the robotic arm kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_89e91c5f-5ec0-4bfd-934d-742c790ca8ba.jpg?v=1782102975\"\u003e\u003cp\u003eMtaala wa kozi ya DOFBOT unaelezea masomo ya hatua kwa hatua yanayohusu usanidi wa Raspberry Pi, ROS2 Humble, programu ya Python, na miradi ya maono inayotegemea kamera.\u003c\/p\u003e\n\u003cimg alt=\"Open-source code and tutorial overview for Yahboom DOFBOT robotic arm kit, including course video sections and support notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_de1ca128-f2ff-4344-9a44-fa76a95d62f1.jpg?v=1782102983\"\u003e\u003cp\u003eFolda za msimbo wa chanzo wazi na mafunzo ya video ya hatua kwa hatua hukusaidia kusanidi na kuprogramu mkono wa roboti wa DOFBOT kwa Python na ROS2.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT robotic arm kit dimensions drawing with labeled measurements and a specification table for Raspberry Pi setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_ea735eea-d148-4bf4-8ee3-4ba3b3f8d36a.jpg?v=1782102990\"\u003e\u003cp\u003eDOFBOT inajumuisha mpangilio wa vipimo vya kina na vipimo muhimu kusaidia kupanga nafasi ya kufunga na ujumuishaji wa mfumo.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOFBOT kit showing robotic arm, camera, expansion board, OLED, cables, tools, and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_34f86b1d-a39b-482f-a1c8-0137fdedd619.jpg?v=1782102996\"\u003e\u003cp\u003eKifaa cha DOFBOT kinajumuisha mkono wa roboti uliokusanywa, kamera ya USB, bodi ya upanuzi, onyesho la OLED, nyaya, adapta ya nguvu, zana, na mwongozo, na vifaa vya hiari vimeorodheshwa kando.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 accessories kit with 64GB TF card and reader, active cooler, power expansion board, I2C cable and dual USB-C adapter\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_6fed053e-81f2-4829-a592-ecd8bc45c2ad.jpg?v=1782103003\"\u003e\u003cp\u003eKifaa cha vifaa vya Raspberry Pi 5 kinajumuisha kadi ya TF ya 64GB na kisomaji, kipozezi kinachofanya kazi, bodi ya upanuzi wa nguvu, kebo ya mawasiliano ya I2C, na bodi ya adapta ya nguvu ya aina mbili ya Type‑C.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Kawaida \/ bila RPi","offer_id":53125973475552,"sku":"6000200971-1","price":389.43,"currency_code":"USD","in_stock":true},{"title":"Kawaida \/ RPi-4GB","offer_id":53125973508320,"sku":"6000200971-2","price":681.93,"currency_code":"USD","in_stock":true},{"title":"Kawaida \/ RPi-8GB","offer_id":53125973541088,"sku":"6000200971-3","price":775.53,"currency_code":"USD","in_stock":true},{"title":"Kawaida \/ RPi-16GB","offer_id":53125973573856,"sku":"6000200971-4","price":869.13,"currency_code":"USD","in_stock":true},{"title":"Bora \/ bila RPi","offer_id":53125973606624,"sku":"6000200971-5","price":424.53,"currency_code":"USD","in_stock":true},{"title":"Bora \/ RPi-4GB","offer_id":53125973639392,"sku":"6000200971-6","price":717.03,"currency_code":"USD","in_stock":true},{"title":"Bora \/ RPi-8GB","offer_id":53125973672160,"sku":"6000200971-7","price":810.63,"currency_code":"USD","in_stock":true},{"title":"Bora \/ RPi-16GB","offer_id":53125973704928,"sku":"6000200971-8","price":904.23,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/DOFBOT-PI-_1.jpg?v=1782029696"},{"product_id":"yahboom-dofbot-pro-robotic-arm","title":"DOFBOT Pro Mkono wa Roboti wa 6-DOF 3D Depth Vision kwa Jetson Nano 4GB \/ Orin Nano SUPER \/ Orin NX SUPER","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eDOFBOT PRO ni mkono wa roboti wa kiwango cha desktop 3D AI vision \u003cstrong\u003etukio\u003c\/strong\u003e iliyoundwa kwa ajili ya elimu na maendeleo ya ROS. Inachanganya muundo wa viungio vya mwendo 6-DOF, kamera ya kina ya 3D, na bodi za udhibiti za mfululizo wa NVIDIA Jetson ili kurahisisha udhibiti wa mwendo mgumu kupitia ROS, kinematics ya mbele\/nyuma, na ufahamu wa kuona kwa utambuzi wa nafasi ya 3D, kufuatilia, na kushika.\u003c\/p\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/qsURQMGCHzc\" title=\"This AI Robotic Arm Understands Videos \u0026amp; Plays Games! (DOFBOT Pro)\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/2xCXQ2QULNc\" title=\"DOFBOT Pro 3D Depth Vision Robotic Arm for Jetson NANO 4GB\/Orin NANO\/Orin NX\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUlinganifu wa jukwaa la Jetson:\u003c\/strong\u003e inafaa na bodi za udhibiti za Jetson Nano 4GB \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER; mafunzo ya mfano yanayoendeshwa na GPU na maendeleo ya Python yanasaidiwa.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUtambuzi wa wingu la kina la 3D:\u003c\/strong\u003e kugundua muunganiko wa RGB + kina (RGB+D) kwa ajili ya kazi za kuweka nafasi, kufuatilia, na kushika za 3D.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMpango wa mwendo wa ROS na simulation:\u003c\/strong\u003e inasaidia mpango wa mwendo wa MoveIt na simulation ya roboti ya RViz; inasaidia mwingiliano wa kuona wa 2D na 3D.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eMuundo wa aloi ya alumini 6-DOF:\u003c\/strong\u003e mwili wa aloi ya alumini ulioandaliwa kwa usahihi; servos za usahihi wa juu kwa mwendo laini wa aksa nyingi. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUdhibiti wa majukwaa tofauti:\u003c\/strong\u003e inasaidia udhibiti wa programu (Android\/iOS), udhibiti wa kushughulikia bila waya, na udhibiti wa ukurasa wa wavuti wa PC. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKonsepti za multimodal \/ mfano mkubwa (kama ilivyoelezwa):\u003c\/strong\u003e Mfano wa Lugha Kubwa, Mfano wa Hotuba Kubwa, Mfano wa Mwangaza Kubwa; inajumuisha Msingi wa Maarifa wa RAG unaoweza kupanuliwa na maelezo ya “Muundo wa Mantiki ya Kurejesha Kiwango cha Mbili”. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMifumo ya algorithimu iliyoorodheshwa:\u003c\/strong\u003e algorithimu ya kinematics ya kinyume, YOLOv11, OpenCV, MediaPipe. \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eKwa uchaguzi wa bidhaa na msaada wa kiufundi, wasiliana na \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e au tuma barua pepe  \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e. \u003c\/p\u003e\u003ch2\u003eSpecifikesheni\u003c\/h2\u003e\u003ch3\u003eDOFBOT-PRO (mfumo wa mkono wa roboti)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eUdhibiti mkuu\u003c\/th\u003e\n\u003ctd\u003eJetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDigrii ya uhuru\u003c\/th\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUpana wa mkono\u003c\/th\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKufungua-kufunga gripper\u003c\/th\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUsahihi wa kuweka tena nafasi\u003c\/th\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eAina ya muundo\u003c\/th\u003e\n\u003ctd\u003eMuundo wa mkono wa roboti wa jadi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKamera\u003c\/th\u003e\n\u003ctd\u003eDABAI DCW2 Kamera ya kina \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDimensheni ya kuona\u003c\/th\u003e\n\u003ctd\u003ePicha ya 3D yenye taarifa za umbali wa kina\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eSauti\u003c\/th\u003e\n\u003ctd\u003eModuli ya sauti ya mfano mkubwa wa AI + spika\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOnyesho\u003c\/th\u003e\n\u003ctd\u003e10.1-inch display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eFunction\u003c\/th\u003e\n\u003ctd\u003eUdhibiti wa uhusiano; Mpango wa mwendo wa MoveIt; Simulizi ya roboti ya RViz; Maingiliano ya kuona ya 2D; Maingiliano ya kuona ya 3D; AI mfano mkubwa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUwekaji (kama ilivyoelezwa)\u003c\/th\u003e\n\u003ctd\u003eAI iliyojumuishwa \/ AI mfano mkubwa \/ mkono wa roboti wa kuona wa kina 3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMipangilio ya Mkono wa Roboti ya ROS (kama ilivyoorodheshwa)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eToleo\u003c\/th\u003e\n\u003cth\u003eToleo la Kawaida\u003c\/th\u003e\n\u003cth\u003eToleo la Mwisho\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eBoard za kudhibiti\u003c\/th\u003e\n\u003ctd\u003eJetson Nano B01; Jetson Orin Nano SUPER 4GB\/8GB; Jetson Orin Nano SUPER 8GB\/16GB\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01; Jetson Orin Nano SUPER 4GB\/8GB; Jetson Orin Nano SUPER 8GB\/16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eModuli ya Sauti\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eMatoleo yote yanajumuisha moduli ya sauti ya AI mfano mkubwa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKamera ya Kina\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003eDABAI DCW2 Kamera ya Kina \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOnyesho\u003c\/th\u003e\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003eHD 10.1-inch skrini ya kugusa\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eMapendekezo ya Uchaguzi wa Kidhibiti (specs za bodi ya Jetson zinaonyeshwa)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eItem\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNguvu ya kompyuta\u003c\/th\u003e\n\u003ctd\u003e0.5TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e34 TOPS\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003ctd\u003eProcessor ya Quad-core Arm Cortex-A57 MPCore\u003c\/td\u003e\n\u003ctd\u003eCPU ya 6-core Arm Cortex-A78AE v8.2 64-bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003eCPU ya 6-core Arm Cortex-A78AE v8.2 64-bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003eCPU ya 6-core NVIDIA Arm Cortex A78AE v8.2 64-bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003eCPU ya 8-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003ctd\u003e128-core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKumbukumbu\u003c\/th\u003e\n\u003ctd\u003e4GB 64-bit LPDDR4; 25.6GB\/s\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5; 51GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eHifadhi\u003c\/th\u003e\n\u003ctd\u003e16GB eMMC + 64GB U disk\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e256GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNguvu\u003c\/th\u003e\n\u003ctd\u003e5W - 10W\u003c\/td\u003e\n\u003ctd\u003e7W , 10W , 25W\u003c\/td\u003e\n\u003ctd\u003e7W , 15W , 25W\u003c\/td\u003e\n\u003ctd\u003e10W , 15W , 25W , 40W\u003c\/td\u003e\n\u003ctd\u003e10W , 15W , 25W , 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eToleo la Mfumo wa ROS\u003c\/th\u003e\n\u003ctd\u003eUbuntu18.04 + Docker + ROS2 Humble\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eUbuntu22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eTofauti ya Uendeshaji wa Kazi (matokeo yaliyopimwa yanaonyeshwa)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003eToleo\u003c\/th\u003e\n\u003cth\u003eJetson Nano B01 4GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin Nano SUPER 8GB\u003c\/th\u003e\n\u003cth\u003eJetson Orin NX SUPER 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eKuanzisha roboti (muda wa kuanza programu)\u003c\/th\u003e\n\u003ctd\u003e62s\u003c\/td\u003e\n\u003ctd\u003e49s\u003c\/td\u003e\n\u003ctd\u003e48s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUfuatiliaji wa uso wa 2D (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e4s \/ 10fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUtambuzi wa ishara za 2D (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e7s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUtambuzi wa njia ya kidole ya 2D (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e10s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003cth\u003eMoveIt (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e45s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e43s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e38s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-Yolo utambuzi wa takataka na kupanga (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e64s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e9s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e6s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-Mediapipe kanuni ya ishara ya mashine ya kupanga umbali (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e9s \/ 6fps\u003c\/td\u003e\n\u003ctd\u003e5s \/ 14fps\u003c\/td\u003e\n\u003ctd\u003e3s \/ 15fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003e3D-ufuatiliaji wa kushika vizuizi vya rangi (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e8s \/ 10fps\u003c\/td\u003e\n\u003ctd\u003e4s \/ 14fps\u003c\/td\u003e\n\u003ctd\u003e2s \/ 15fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eAI mfano mkubwa wa kupanga vitu (muda wa kuanza programu \/ fremu inayotembea ya programu)\u003c\/th\u003e\n\u003ctd\u003e40s \/ 5fps\u003c\/td\u003e\n\u003ctd\u003e25s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e20s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e3D kuona kugundua na kushika; ufahamu wa nafasi; ufuatiliaji wa vitu; 3D kupanga\u003c\/li\u003e\n\u003cli\u003eKupima kina (kipimo cha umbali), kutambua umbo, kupima urefu, kupima kiasi\u003c\/li\u003e\n\u003cli\u003eKuweka na kufuatilia kuona kina; ufuatiliaji wa nafasi ya 3D na kushika; kutambua wingu la pointi za 3D\u003c\/li\u003e\n\u003cli\u003eMaingiliano ya kuona yanayoendeshwa na AI: kupanga na kushughulikia kwa akili, kutambua rangi, ufuatiliaji wa dinamik, kupanga takataka, ufuatiliaji, kushika\u003c\/li\u003e\n\u003cli\u003eMifumo ya kazi ya multimodal iliyoelezewa: uchambuzi wa video, udhibiti wa mwendo wa amri ndefu, kupanga urefu usio wa kawaida, uelewa wa nia (maktaba ya maarifa ya RAG), algorithimu ya ufuatiliaji wa KCF, kazi za kutambua zinazotegemea YOLOv11\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eMifano ya vipimo vya vitu imeonyeshwa kwa maonyesho ya kupima kiasi: 30*30*30mm Cube, 30*30*30mm Cylinder, 30*30*60mm Cylinder.Mfano wa mipangilio ya umbali unaonyeshwa ni pamoja na 240.0mm na 190.0mm.\u003c\/p\u003e\u003ch2\u003eMaelekezo\u003c\/h2\u003e\u003cp\u003eKiungo cha mafunzo: \u003ca href=\"http:\/\/www.yahboom.net\/study\/DOFBOT-Pro\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/DOFBOT-Pro\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eMaelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Hot-selling robotic arm comparison chart highlighting DOFBOT, DOFBOT SE, DOFBOT-PRO and JETCOBOT specs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for.jpg?v=1782293335\"\u003e\u003cp\u003eLinganisha chaguo maarufu za mikono ya roboti ya mezani kwa muonekano wa haraka, ikiwa ni pamoja na digrii za uhuru, ulifika, anuwai ya gripper, na majukwaa ya udhibiti.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE spec table with PC virtual machine control and core parameters for desktop ROS learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_18ad5a46-eaad-4a7b-a9e6-959e3d15fa81.jpg?v=1782293341\"\u003e\u003cp\u003ePicha ya haraka ya vipimo inasaidia kuchagua mfano sahihi kwa ajili ya kujifunza ROS, simulation, na kazi za maono ya msingi.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO specs table with Jetson Nano\/Orin support, DABAI DCW2 depth camera, and 10.1-inch display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_1a0fe56e-b095-4736-96ea-ed1b091e608c.jpg?v=1782293346\"\u003e\u003cp\u003eDOFBOT-PRO inachanganya mkono wa 6-DOF, RGB+D kugundua kina, na ufanisi wa Jetson kwa ajili ya ufahamu wa 3D na maendeleo ya kushika.\u003c\/p\u003e\n\u003cimg alt=\"JETCOBOT comparison table listing 7-DOF structure, 270mm arm span, and USB HD camera options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_52fe390a-dbc4-4bdb-89bf-1b0ef6424aa9.jpg?v=1782293352\"\u003e\u003cp\u003eMaelezo ya mipangilio mbadala yanatolewa kwa watumiaji wanaohitaji muundo tofauti wa mkono na mipangilio ya kamera.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO 3D depth vision robotic arm kit with depth camera and 10.1-inch display on desktop base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_10556ee5-cbe0-4410-a2b7-f7ce58a2f403.jpg?v=1782293358\"\u003e\u003cp\u003eIliyojengwa kwa ajili ya elimu na maendeleo ya ROS, kifaa hiki kinachanganya mkono mdogo wa 6-DOF na maono ya kina na mipangilio iliyounganishwa ya mtindo wa desktop.\u003c\/p\u003e\u003cimg alt=\"DOFBOT-PRO product introduction poster explaining ROS education focus and 3D depth sensing capabilities\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_08f7e200-dd06-4ee5-a720-764a733c887b.jpg?v=1782293364\"\u003e\u003cp\u003eImetengenezwa kwa ajili ya mipango ya mwendo na michakato ya ufahamu kama vile kinematics, utambuzi wa malengo, ufuatiliaji, na kushika katika nafasi ya 3D.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview poster listing multimodal large-model fusion, 3D depth vision applications, and ROS development stack\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_284138e4-5c5e-4fcb-ae90-914b709b6329.jpg?v=1782293371\"\u003e\u003cp\u003eModuli muhimu zinashughulikia ufahamu wa kina, dhana za mwingiliano wa AI, na mifumo ya programu inayotumika katika mipangilio ya kawaida ya roboti.\u003c\/p\u003e\n\u003cimg alt=\"Why choose DOFBOT PRO poster outlining multimodal AI, embedded intelligence apps, and hardware configuration highlights\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_9318f4d0-5290-449d-995f-03b31172d270.jpg?v=1782293377\"\u003e\u003cp\u003eMwangaza wa vifaa na programu unatoa muhtasari wa kile kilichojumuishwa kwa ajili ya kujenga maonyesho ya maono + ROS na majaribio ya darasani.\u003c\/p\u003e\n\u003cimg alt=\"Jetson platform lineup image showing Nano 4GB and Jetson Orin Nano\/NX SUPER board options for DOFBOT-PRO\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_fc846e34-c8c4-411e-96e1-9199bc8a569e.jpg?v=1782293384\"\u003e\u003cp\u003eChaguzi nyingi za bodi ya Jetson husaidia kupanua kutoka kwa prototyping ya kiwango cha kuingia hadi kazi za AI zenye utendaji wa juu.\u003c\/p\u003e\n\u003cimg alt=\"ROS robotic arm configurations chart comparing versions, controller recommendations, and function differences\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_4dd27946-991f-43d1-a86d-c0e8c6ae0138.jpg?v=1782293390\"\u003e\u003cp\u003eTumia matrix ya usanidi kulinganisha bodi ya kidhibiti na seti ya vipengele kwa mahitaji ya mradi wako wa ROS.\u003c\/p\u003e\n\u003cimg alt=\"3D depth vision functions graphic showing robotic arm depth sensing and a 2D vs 3D capability comparison\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_608754f6-b062-41b2-9f83-61a07012a3b8.jpg?v=1782293396\"\u003e\u003cp\u003eMaono ya kina yanaongeza ufahamu wa umbali kwa ajili ya kuweka nafasi, utambuzi, na mipango ya kushika kwa usahihi zaidi kuliko 2D pekee.\u003c\/p\u003e\n\u003cimg alt=\"Depth vision arm-camera integration poster demonstrating point cloud recognition and depth-based measurements\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_53f9901f-9daf-424c-a96f-127506e5583a.jpg?v=1782293403\"\u003e\u003cp\u003eKalibrishaji ya kamera ya mkono inasaidia kazi kama vile utambuzi wa wingu la alama na kipimo kinachotegemea kina kwa mwingiliano wa nafasi ya 3D.\u003c\/p\u003e\u003cimg alt=\"Poster describing large language, voice, and vision large-model concepts for embodied intelligence workflows\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_0a0b8318-0918-4e24-8900-88c1a2e48ba3.jpg?v=1782293409\"\u003e\u003cp\u003eDhima za mwingiliano wa multimodal zinajumuisha maandiko, sauti, na uwezo wa kuona kwa ajili ya kujenga mifumo tajiri ya kazi kati ya binadamu na roboti.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model applications poster: video analysis, command-based motion control, and intelligent handling demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_45572031-020f-4b3a-82f2-0d0368948b4f.jpg?v=1782293416\"\u003e\u003cp\u003eMifano ya matumizi inazingatia tabia za kupanga na kushughulikia ambazo zinachanganya ufahamu na udhibiti unaoendeshwa na amri.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence applications poster with color block tasks, visual tracking, garbage sorting, and intent inference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_0e515aef-25a3-483a-b858-1349486ae59b.jpg?v=1782293422\"\u003e\u003cp\u003eMaonyesho ya vitendo yanaonyesha kufuatilia, kupanga, na kuchagua vitendo vilivyojengwa kuzunguka mantiki ya kuona na mwingiliano.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay poster showing classroom-style tasks like math, problem solving, analysis, and spelling\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_45cefd37-e8b2-46cb-b5e3-e185041eb1d6.jpg?v=1782293429\"\u003e\u003cp\u003eShughuli za changamoto za mwingiliano zinatoa hali zinazoweza kufikiwa kwa ajili ya kujaribu ufahamu, mantiki, na mizunguko ya udhibiti.\u003c\/p\u003e\n\u003cimg alt=\"AI vision recognition and target tracking poster with color recognition, sorting, catch game, and label recognition tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_46e02d5d-d541-4d55-be6b-1cdd11ec3694.jpg?v=1782293435\"\u003e\u003cp\u003eMifano ya utambuzi wa kuona inashughulikia kufuatilia kulingana na rangi, kupanga vizuizi, michezo ya mwingiliano, na kuweka kulingana na lebo.\u003c\/p\u003e\n\u003cimg alt=\"Deep learning training poster highlighting upgraded YOLO v11 model performance and training\/latency comparison charts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_ae2f2732-1cc7-4443-a859-53b4a0d6d3ce.jpg?v=1782293442\"\u003e\u003cp\u003eMaelezo ya mafunzo na mikondo ya utendaji yanaelezea mwelekeo wa mchakato wa kujifunza kwa kina uliojumuishwa kwa ajili ya kazi za kugundua vitu.\u003c\/p\u003e\u003cimg alt=\"Infographic of DOFBOT Pro 6‑DOF robotic arm features, including MediaPipe gesture control, kinematics, and MoveIt simulation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_f711bf25-4a3a-4c0d-9c3b-66f62afdb7a4.jpg?v=1782293448\"\u003e\u003cp\u003eDOFBOT Pro inasaidia mwingiliano wa ishara unaotegemea MediaPipe, kinematics ya mbele\/nyuma, na udhibiti wa simulating wa MoveIt kwa ajili ya mipangilio na michakato ya maendeleo.\u003c\/p\u003e\n\u003cimg alt=\"Infographic of DOFBOT Pro 6-DOF robotic arm MoveIt kinematics, trajectory planning, collision detection, and ROS\/ROS2 support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_36217f86-2c31-4a41-b020-4a5ee129d47b.jpg?v=1782293455\"\u003e\u003cp\u003eDOFBOT Pro inasaidia simulating ya kinematics ya MoveIt pamoja na mipango ya njia, kugundua migongano, na michakato ya ROS\/ROS2 (Humble) kwa udhibiti wa mwendo.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6DOF robotic arm poster with cross-platform remote control options and labeled J1–J6 joint diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_9fc65bcc-2105-424b-a47b-d837c1a81075.jpg?v=1782293461\"\u003e\u003cp\u003eDOFBOT Pro inasaidia udhibiti wa programu, udhibiti wa wavuti, na remote isiyo na waya ya USB, ikiwa na mpangilio wa viungo 6-DOF ulioandikwa J1–J6 kwa ajili ya mipangilio sahihi na mipango ya mwendo.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6-DOF robotic arm with Jetson Nano-class controller, DaBai DCW2 depth camera, and serial bus servos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_ee4385ae-2821-4d47-934c-2808d1c55078.jpg?v=1782293468\"\u003e\u003cp\u003eRoboti ya DOFBOT Pro 6-DOF inachanganya bodi ya udhibiti inayotegemea Jetson na kamera ya kina ya DaBai DCW2 na servos za bus serial za akili kwa ajili ya miradi ya mwendo inayoongozwa na maono.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro robotic arm expansion board layout with labeled ports, plus voice module and 10.1-inch touchscreen add-ons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_b679daa2-1d7b-4fbf-a2f5-41489015b9e5.jpg?v=1782293475\"\u003e\u003cp\u003eMipangilio ya DOFBOT Pro inajumuisha mpangilio wa bodi ya upanuzi wa roboti na inasaidia nyongeza kama moduli ya sauti na skrini ya kugusa ya inchi 10.1 kwa udhibiti.\u003c\/p\u003e \u003cimg alt=\"Screenshot of DOFBOT-PRO course outline webpage with laptop banner and a detailed training module table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_b6aeac11-6fb3-4f10-bdd8-b9d99892321d.jpg?v=1782293481\"\u003e\u003cp\u003eMuhtasari wa kozi ya DOFBOT-PRO unagawanya moduli za mafunzo na malengo ya kujifunza ili kusaidia kupanga hatua za usanidi na maendeleo.\u003c\/p\u003e\n\u003cimg alt=\"Folder list of DOFBOT Pro robotic arm open-source code and tutorial packages for visual tracking and depth camera courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_90071628-d5f5-45e6-9587-73ca2d5e8d9f.jpg?v=1782293488\"\u003e\u003cp\u003eDOFBOT Pro inajumuisha msimbo wa chanzo wazi uliopangwa na folda za mafunzo hatua kwa hatua zinazohusisha ufuatiliaji wa picha za 2D\/3D, kupanga na kushika, na michakato ya kamera ya kina.\u003c\/p\u003e\n\u003cimg alt=\"Screenshot of DOFBOT Pro support resources showing tutorial folders, ROS2 lessons, 3D model files, and open-source Python code\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_011f3d80-d95f-4b2e-9e21-eb5b83cd0a99.jpg?v=1782293495\"\u003e\u003cp\u003eDOFBOT Pro inajumuisha mafunzo ya video yanayoweza kupakuliwa, vifaa vya kujifunza ROS2, faili ya mfano wa 3D, na msimbo wa Python wa chanzo wazi kwa ajili ya maendeleo kwenye bodi za Jetson.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro 6-DOF depth vision robotic arm dimensions diagram with key measurements and specs overview\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_78c5542f-08d1-465d-b3b3-4cfa78a717ef.jpg?v=1782293502\"\u003e\u003cp\u003eMchoro wa vipimo na muhtasari wa specs unakusaidia kupanga nafasi ya kufunga na uunganisho wa mfumo kwa mkono wa roboti wa DOFBOT Pro 6-DOF.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT Pro robotic arm kit shipping list with arm, controller board, power adapter, cables, tools and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-Pro-AI-Large-Model-3D-Depth-Vision-Robotic-Arm-for_d953d677-6b62-4a94-a7d9-54b37ba754ad.jpg?v=1782293508\"\u003e\u003cp\u003eKifaa cha DOFBOT Pro kinajumuisha mkono wa roboti pamoja na seti ya vifaa vya kawaida kama vile vifaa vya kudhibiti, nyaya za nguvu na data, na zana za msingi za kusanyiko na usanidi.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-Bila \/ NANO 4GB SUB","offer_id":53135705538784,"sku":"3000200927-1","price":603.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Bila \/ OrinNANO SUPER-4GB","offer_id":53135705571552,"sku":"3000200927-2","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Bila \/ OrinNANO SUPER-8GB","offer_id":53135705604320,"sku":"3000200927-3","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Bila \/ OrinNX SUPER-8GB","offer_id":53135705637088,"sku":"3000200927-4","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Standard-Bila \/ OrinNX SUPER-16GB","offer_id":53135705669856,"sku":"3000200927-5","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Kiwango-Kiwanjani \/ NANO 4GB 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SUPER-8GB","offer_id":53135706095840,"sku":"3000200927-18","price":1335.8,"currency_code":"USD","in_stock":true},{"title":"Ultimate-with \/ OrinNX SUPER-8GB","offer_id":53135706128608,"sku":"3000200927-19","price":1719.8,"currency_code":"USD","in_stock":true},{"title":"Ultimate-with \/ OrinNX SUPER-16GB","offer_id":53135706161376,"sku":"3000200927-20","price":2115.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/DOFBOT_Pro_AI_LLM_3D_robotic_arm_4.jpg?v=1782123964"},{"product_id":"yahboom-dofbot-se-robot-arm","title":"Yahboom DOFBOT SE Mkono wa Roboti wa 6DOF Toleo la Mashine Pepe, ROS2 Humble Python AI Vision Kifurushi cha Mfano Mkubwa","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eDOFBOT SE ni mfano mkubwa wa AI wa kuona \u003cstrong\u003emkono wa roboti\u003c\/strong\u003e (toleo la mashine ya virtual) kutoka Yahboom. Ni mkono wa roboti wa 6 DOF wa mezani unaozalisha maamuzi ya udhibiti kwenye mashine ya virtual upande wa PC na kuendesha viungo kupitia kidhibiti cha STM32. Mfumo umeundwa kuzunguka ROS2 ili kusaidia kinematics (mbele\/nyuma), mipango ya mwendo, simulation ya MoveIt, na kugundua mgongano, huku pia ukiruhusu mwingiliano wa kuona wa AI kwa kazi kama vile kufuatilia utambuzi wa rangi na kushika vitu.\u003c\/p\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUdhibiti mkuu wa mashine ya virtual ya PC\u003c\/strong\u003e: inatumia mashine ya virtual ya PC kubadilisha bodi za maendeleo za ARM; \u003cstrong\u003eMac haisaidiwi\u003c\/strong\u003e. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaendeleo ya ROS2\u003c\/strong\u003e: mfumo wa udhibiti wa roboti wa ROS2 (picha inaonyesha \u003cstrong\u003eROS2 Humble\u003c\/strong\u003e), ikisaidia mipango ya mwendo, simulation, na michakato inayohusiana.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUdhibiti wa servo wa basi ya serial wa 6 DOF\u003c\/strong\u003e: udhibiti uliojumuishwa kwa mwendo wa viungo vingi na kushika.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eMaingiliano ya maono ya AI\u003c\/strong\u003e: ndege ya maono ya 2D yenye kazi kama utambuzi\/ufuatiliaji\/kuvuta rangi na utambuzi wa ishara.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaingiliano ya mfano mkubwa wa AI (upatikanaji wa kipengele unategemea toleo)\u003c\/strong\u003e: picha zinaelezea uwezo wa multimodal (maandishi\/sauti\/maono) ikiwa ni pamoja na msingi wa maarifa wa RAG unaoweza kupanuliwa, mazungumzo ya sauti ya asili, na uelewa wa scene za kuona.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNjia nyingi za kudhibiti\u003c\/strong\u003e: hali za maandiko programu ya simu, kifaa cha wireless, na udhibiti wa programu ya PC.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMfano\u003c\/td\u003e\n\u003ctd\u003eDOFBOT SE (Toleo la mashine ya virtual)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUdhibiti mkuu\u003c\/td\u003e\n\u003ctd\u003eMashine ya virtual ya PC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKiwango cha uhuru\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUpana wa mkono\u003c\/td\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAngle ya kufungua-kufunga ya gripper\u003c\/td\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUsahihi wa kuweka tena nafasi\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAina ya muundo\u003c\/td\u003e\n\u003ctd\u003eMuundo wa mkono wa roboti wa jadi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003eKamera ya USB HD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensheni ya kuona\u003c\/td\u003e\n\u003ctd\u003ePicha ya 2D ya ndege\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSauti\u003c\/td\u003e\n\u003ctd\u003eModuli ya sauti ya mfano mkubwa wa AI + spika\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOnyesho\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMajukumu (picha ya maandiko)\u003c\/td\u003e\n\u003ctd\u003eUdhibiti wa uhusiano; Mpango wa mwendo wa MoveIt; Simulering ya roboti ya Rviz; Maingiliano ya kuona ya 2D; maingiliano ya sauti; mfano mkubwa wa AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUwekaji (picha ya maandiko)\u003c\/td\u003e\n\u003ctd\u003eToleo la mashine ya virtual ya mkono wa roboti wa mfano mkubwa wa AI wa kiwango cha kuingia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMfumo wa ROS (picha ya maandiko)\u003c\/td\u003e\n\u003ctd\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003e\u003cstrong\u003eKumbukumbu ya azimio la kamera:\u003c\/strong\u003e maandiko yaliyotolewa yanataja \u003cstrong\u003e 0.3MP kamera\u003c\/strong\u003e, na pia inasema \u003cstrong\u003emoduli ya kamera ya 30MP\u003c\/strong\u003e chini ya \"Mifumo ya vifaa vya kitaalamu\". Picha zinaelezea \u003cstrong\u003e kamera ya USB HD\u003c\/strong\u003e lakini hazionyeshi thamani ya megapixel. Kwa uthibitisho wa moduli halisi ya kamera iliyotumwa, wasiliana na \u003ca href=\"mailto:support@rcdrone.top\"\u003e support@rcdrone.top\u003c\/a\u003e au tembelea https:\/\/rcdrone.top\/ . \u003c\/p\u003e\u003ch2\u003eProgramu \u0026amp; Udhibiti\u003c\/h2\u003e \u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUdhibiti wa ROS2\u003c\/strong\u003e: unarahisisha udhibiti wa mwendo wa servo wa 6 DOF kupitia basi ya serial; inasaidia suluhisho la mbele, suluhisho la nyuma, na mipango ya mwendo (maandishi).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt + RViz\u003c\/strong\u003e: picha zinaorodhesha mipango ya mwendo ya MoveIt na simulation ya mkono wa roboti ya RViz.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMawasiliano ya serial ya mashine ya virtual\u003c\/strong\u003e: picha zinaelezea kutuma maagizo kutoka kwa mashine ya virtual hadi co-processor ya STM32 kupitia bandari ya serial ili kuendesha kila kiungo.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNjia za udhibiti wa mbali (maandishi)\u003c\/strong\u003e: programu ya simu, kipanga wireless, na programu ya PC.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eAI Maono, Gestures, na Mafunzo ya Mfano (kama ilivyoelezwa)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUtambuzi wa kuona AI\/ufuatiliaji wa lengo\u003c\/strong\u003e: utambuzi wa rangi \u0026amp; ufuatiliaji; kukamata rangi; mwingiliano wa rangi; kupanga taka; kuunganisha vizuizi vya rangi; “mchezo wa kukamata”.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eMwingiliano wa gestured (MediaPipe)\u003c\/strong\u003e: kikundi cha hatua za udhibiti wa mkono wa roboti; rundo la udhibiti wa utambuzi wa gestured; udhibiti wa mtazamo wa mkono wa roboti; utambuzi wa mkono wa roboti na ufuatiliaji wa kiganja.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMisingi ya algorithimu (picha maandiko)\u003c\/strong\u003e: algorithimu ya kinematics ya kinyume; YOLOv11; OpenCV; MediaPipe.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKujifunza kwa kina \u0026amp; mafunzo ya mfano (picha maandiko)\u003c\/strong\u003e: inasaidia mafunzo ya kawaida na utekelezaji wa upimaji wa mfano; mifano iliyoonyeshwa ni pamoja na uainishaji wa taka na mafunzo ya mfano (uwasilishaji wa kesi ya YOLOv11). \u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eMaelezo yaliyoonyeshwa katika picha:\u003c\/strong\u003e “Kikapu cha takataka hakijajumuishwa katika orodha ya usafirishaji.\"Ufundishaji wa mfano unahitaji watumiaji kujifunza wenyewe.\"”\u003c\/p\u003e\u003ch2\u003e Tofauti za Toleo (maandishi ya picha)\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eToleo la Kawaida\u003c\/td\u003e\n\u003ctd\u003eToleo la Juu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupport main control\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003ePC Virtual Machine\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModuli ya sauti ya mfano mkubwa wa AI\u003c\/td\u003e\n\u003ctd\u003eHapana\u003c\/td\u003e\n\u003ctd\u003eNdio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFunguo la mfano mkubwa wa AI\u003c\/td\u003e\n\u003ctd\u003eHapana\u003c\/td\u003e\n\u003ctd\u003eNdio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMaingiliano ya kuona ya AI\u003c\/td\u003e\n\u003ctd\u003eNdio\u003c\/td\u003e\n\u003ctd\u003eNdio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMfumo wa ROS\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWatumiaji wanaopendekezwa\u003c\/td\u003e\n\u003ctd\u003eInafaa kwa kujifunza kazi za kuona za AI\u003c\/td\u003e\n\u003ctd\u003eInafaa kwa kujifunza mfano mkubwa wa AI, maingiliano ya sauti ya AI, na matumizi ya kazi za kuona za AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMatumizi\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKujifunza na utafiti wa ROS2: kinematics, mipango ya mwendo, simulation ya MoveIt, na kugundua migongano.\u003c\/li\u003e\u003cli\u003eMaonyesho ya maono ya AI: ufuatiliaji wa vitu, utambuzi wa rangi, kushika na kuweka, na michakato ya kupanga.\u003c\/li\u003e\n\u003cli\u003eMaonyesho ya mwingiliano wa multimodal (kama ilivyoelezwa): uchambuzi wa video, udhibiti wa vitendo virefu, usimamizi wa akili, na kupanga nafasi ya 3D.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMafunzo \u0026amp; Video\u003c\/h2\u003e\u003cp\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/DOFBOT_SE\" rel=\"noopener\" target=\"_blank\"\u003e Kiungo cha mafunzo: Yahboom DOFBOT SE Robotic Arm\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/uKEDqF9wWbc\" title=\"DOFBOT SE AI Large Model Meets 6DOF ROS2 Robotic Arm\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/UPPSitFJs5s\" title=\"DOFBOT SE AI Vision Robotic Arm with ROS2 Python Programming (Virtual Machine Version)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003ch2 id=\"details\"\u003eMaelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm (virtual machine version) kit overview and key specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python.jpg?v=1782288138\"\u003e\u003cp\u003eDOFBOT SE inachanganya mkono wa desktop wa 6‑DOF na udhibiti wa mashine ya virtual upande wa PC na michakato ya ROS2 Humble kwa ajili ya kujifunza na maendeleo.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE virtual machine main control comparison table with arm span, accuracy and supported functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_05a5ee06-2a7f-4bc0-b69f-d1492a701cc8.jpg?v=1782288144\"\u003e\u003cp\u003eUdhibiti mkuu wa mashine ya virtual hupunguza utegemezi wa vifaa huku ukihifadhi kazi za msingi kama mipango ya mwendo, simulation ya RViz, na mwingiliano wa picha za 2D.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO configuration chart with depth camera option and 3D spatial vision notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_74ed15d0-b225-48d2-884e-15463bc6adfd.jpg?v=1782288149\"\u003e\u003cp\u003eUsanidi wa juu unazidisha mwingiliano wa picha za 3D kulingana na kina kwa ajili ya ufahamu wa nafasi na matumizi ya kushika.\u003c\/p\u003e\u003cimg alt=\"JETCOBOT configuration chart listing 7 DOF and ROS\/MoveIt-related functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_88ebc919-8e77-4d29-890c-02028f41df03.jpg?v=1782288163\"\u003e\u003cp\u003eChaguzi nyingine za mikono katika mfululizo zinaangazia DOF tofauti na chaguzi za muundo kwa mahitaji maalum ya utafiti na ufundishaji.\u003c\/p\u003e\n\u003cimg alt=\"Infographic: PC virtual machine replaces ARM development boards, comparing DOFBOT SE vs Raspberry Pi\/Jetson control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_ce04ce62-d044-4fea-b711-07373d5fd0af.jpg?v=1782288171\"\u003e\u003cp\u003eKulinganisha na bodi za maendeleo za ARM, mbinu ya mashine ya virtual ya PC inasisitiza upanuzi rahisi, nakala\/kuokoa, na maendeleo ya gharama nafuu.\u003c\/p\u003e\n\u003cimg alt=\"Jetson version banner button for robotic arm kits\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python.webp?v=1782288183\"\u003e\u003cimg alt=\"DOFBOT SE product introduction poster for virtual machine version, AI large model vision and ROS2 development\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_01416d6c-95ed-41ac-8d6e-f2eb4a7cda34.jpg?v=1782288197\"\u003e\u003cp\u003eIliyoundwa kwa ajili ya maendeleo ya ROS2, DOFBOT SE inasaidia mwingiliano wa maono ya AI na udhibiti wa servo wa viungo vingi katika mfumo wa desktop wa kompakt.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview: multimodal AI, 6DOF integrated arm, visual interaction apps, accessories, tutorials, virtual machine control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_df512a72-d071-4f51-8362-3cd52809e66d.jpg?v=1782288203\"\u003e\u003cp\u003eMwingiliano wa multimodal, programu za kuona, na mafunzo ya hatua kwa hatua husaidia kuhamia kutoka kwa mwendo wa kwanza hadi kazi za maono ya AI za vitendo.\u003c\/p\u003e\n\u003cimg alt=\"Differences in configuration chart comparing standard vs superior versions and supported AI\/ROS features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_18f5ed0d-7793-4d20-8545-e2b996419e6b.jpg?v=1782288210\"\u003e\u003cp\u003eChagua usanidi unaolingana na mahitaji yako, kutoka kwa misingi ya ROS2 Humble hadi uwezo wa mfano mkubwa wa AI ulioongezwa.\u003c\/p\u003e\n\u003cimg alt=\"Deploying AI large models page covering language, voice and vision model interaction examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_0ad4a047-63a3-4eae-8717-0307a9f70dae.jpg?v=1782288218\"\u003e\u003cp\u003eModuli kubwa za lugha, sauti, na maono zinawezesha amri na mrejesho wa asili zaidi wakati wa operesheni ya mkono wa roboti.\u003c\/p\u003e\u003cimg alt=\"Multimodal large model applications: video parsing, long command action control, intelligent handling and 3D sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_818cf93d-bf97-4d35-bb9d-a2c02c723510.jpg?v=1782288225\"\u003e\u003cp\u003eMaonyesho ya programu yanazingatia kubadilisha amri za asili kuwa vitendo vinavyoweza kurudiwa kama kushughulikia na kupanga mfuatano.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos: color block return, visual tracking, garbage sorting and intentional speculation tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_d6a30b62-8c96-4db8-872b-cea2ff82dbd5.jpg?v=1782288232\"\u003e\u003cimg alt=\"AI large model functions grid: math, problem solving, nutrition analysis, English spelling, Q\u0026amp;A and cooking tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_29411761-5b8c-45a3-9889-8181c4a7192b.jpg?v=1782288239\"\u003e\u003cp\u003eUelewa wa multimodal unasaidia hali mbalimbali za darasani kama vile Q\u0026amp;A, uchambuzi, na utekelezaji wa kazi ulioongozwa.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition and target tracking: color tracking, grab game, color grabbing, waste sorting and stacking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_910f1927-ca01-46d0-b198-2685663b8253.jpg?v=1782288246\"\u003e\u003cp\u003eFunguo za maono ya 2D zinajumuisha utambuzi wa rangi, kufuatilia malengo, na kushika kwa mwongozo kwa miradi ya meza ya mwingiliano.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe gesture control and deep learning training examples for classification and model training\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_3dbcb6ed-429c-4da7-a416-ae128e33c5fe.jpg?v=1782288253\"\u003e\u003cp\u003eUtambuzi wa ishara na maudhui ya mafunzo ya mfano yanapanua mwingiliano zaidi ya gripper kwa majaribio ya udhibiti wa AI yenye utajiri.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics algorithm and MoveIt simulation control screen for DOFBOT SE robotic arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_26de6dac-ab32-4801-bafb-6cba7a9a7767.jpg?v=1782288259\"\u003e\u003cp\u003eKinematics za ROS2 pamoja na simulation ya MoveIt husaidia kuthibitisha njia kabla ya kutekeleza harakati kwenye mkono halisi.\u003c\/p\u003e\n\u003cimg alt=\"URDF kinematic simulation model in RViz with trajectory planning, collision detection and spatial grasp examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_0cace1c8-1799-4e1a-8d90-5f252f7cb0ad.jpg?v=1782288266\"\u003e\u003cimg alt=\"ROS robot operating system page: ROS2 Humble badge and cross-platform remote control options (app, PC, handle)\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_258d303c-0d38-4c57-b87d-fdba3c485e7f.jpg?v=1782288273\"\u003e\u003cp\u003eUsaidizi wa ROS2 Humble na mbinu mbalimbali za udhibiti—programu ya simu, udhibiti wa PC, na kushughulikia bila waya—zinakidhi mipangilio tofauti ya kujifunza.\u003c\/p\u003e\u003cimg alt=\"Yahboom DOFBOT SE robotic arm app control screen showing gesture grabbing plus remote, tracking, calibration, and sorting modes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_9ed6a1ed-bb98-46c1-b6ad-e5a2c485135f.jpg?v=1782288279\"\u003e\u003cp\u003eProgramu ya DOFBOT SE inajumuisha kushika kwa ishara pamoja na udhibiti wa mbali, ufuatiliaji, kalibrishaji ya servo, na hali za kupanga kwa ajili ya uendeshaji wa kubadilika.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm demo with face tracking UI and custom action group learning controls\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_1d248e84-18a5-4b02-9def-ffe445b120f9.jpg?v=1782288286\"\u003e\u003cp\u003eRoboti ya DOFBOT SE inasaidia ufuatiliaji wa kutambua uso na kujifunza kwa vikundi vya vitendo vya kawaida kwa ajili ya mfuatano wa harakati zinazoweza kurudiwa.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6-DOF robotic arm with USB camera and labeled joints J1–J6 on base platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_24825301-3021-4fb0-a596-fc7c11e33b4d.jpg?v=1782288293\"\u003e\u003cp\u003eKiti cha roboti ya DOFBOT SE 6-DOF kina kamera ya USB, bodi ya msingi ya STM32, na viunganishi vya J1–J6 vilivyoandikwa wazi, pamoja na msaada wa spika na moduli ya sauti ya AI.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE 6DOF robotic arm kit with intelligent serial bus servos and labeled extension board layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_12e3888f-159f-4ac6-bdd8-8ca5faa090a5.jpg?v=1782288300\"\u003e\u003cp\u003eKiti cha DOFBOT SE kinachanganya mkono unaoendeshwa na servo wa 6DOF na bodi ya upanuzi inayotoa bandari na vichwa vilivyoandikwa wazi kwa ajili ya kuunganisha vifaa na nguvu.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE kit accessories with USB camera module, 2.4G wireless gamepad receiver board, and voice module\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_460f4687-6b46-402c-a102-a95208eab8dd.jpg?v=1782288307\"\u003e\u003cp\u003eKiti cha DOFBOT SE kinajumuisha moduli ya kamera ya USB, kipande cha wireless cha 2.4G chenye bodi ya mpokeaji, na moduli ya sauti ya AI yenye spika na wiring kwa ajili ya uunganisho rahisi.\u003c\/p\u003e\u003cimg alt=\"Yahboom DOFBOT SE course outline displayed on a laptop screen with modules for setup, programming, and vision lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_4e82fb47-899b-4ad6-b48d-aac16deee7ef.jpg?v=1782288314\"\u003e\u003cp\u003eMuhtasari wa kozi ya DOFBOT SE unashughulikia usanidi, kalibrishaji, udhibiti wa mbali, na masomo ya programu, ikiwa ni pamoja na moduli za maono ya AI.\u003c\/p\u003e\n\u003cimg alt=\"Course outline screenshot for Yahboom DOFBOT SE 6DOF robotic arm kit, listing AI large model and ROS2\/Python lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_5bd67b03-338b-403c-9329-596dedb7caea.jpg?v=1782288321\"\u003e\u003cp\u003eMuhtasari wa kujifunza wa kifaa unashughulikia misingi ya mfano mkubwa, usanidi wa mazingira, na miradi ya vitendo kama vile kuunda funguo za API na kuunganisha vipengele vya AI.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE tutorial and open-source code list showing course folders and ROS2\/AI video tutorial sections\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_2bd829a3-2b9b-478f-8c2c-dafeda27cedc.jpg?v=1782288328\"\u003e\u003cp\u003eKifaa kinajumuisha rasilimali za msimbo wa chanzo wazi zilizopangwa na mafunzo ya video ya hatua kwa hatua yanayoshughulikia vipengele vya mfano mkubwa wa AI na misingi ya ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT SE robotic arm kit graphic offering 3D model file and technical support\/after-sales service chat examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_a2cb6c3b-a446-4e79-818d-2d8ce02f1be0.jpg?v=1782288335\"\u003e\u003cp\u003eKifaa cha DOFBOT SE kinajumuisha ufikiaji wa faili rahisi ya mfano wa 3D na kinatoa msaada wa kiufundi pamoja na huduma baada ya mauzo.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE 6DOF robotic arm dimensions drawing with millimeter measurements and key specs like Pi, Ubuntu 22.04 and ROS2 Humble.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_1fa3c0eb-1251-4a30-bbde-633599f019b6.jpg?v=1782288342\"\u003e\u003cp\u003eDOFBOT SE inajumuisha muhtasari wa vipimo vya milimita na orodha ya haraka ya spesifikesheni inayoshughulikia jukwaa la ndani na mazingira ya programu kama vile Ubuntu 22.04 na ROS2 Humble na Python.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom DOFBOT SE 6DOF robotic arm kit with STM32 core board, camera, controller and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/DOFBOT-SE-AI-Large-Model-Vision-Robotic-Arm-with-ROS2-Python_c27a73c0-2fd8-4274-9b59-9df8bf94c58c.jpg?v=1782288347\"\u003e\u003cp\u003eKifaa cha DOFBOT SE kinajumuisha mwili wa mkono wa roboti na chasi, bodi ya msingi ya STM32, kamera yenye bracket, 2.Kashikashi ya wireless ya 4G, nyaya, zana, na mwongozo wa maagizo.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Kifaa cha Kawaida","offer_id":53135751708896,"sku":"6000200986-1","price":363.8,"currency_code":"USD","in_stock":true},{"title":"Kifaa Bora","offer_id":53135751741664,"sku":"6000200986-2","price":399.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1_50094e44-c569-4b29-919b-fafa81899ec6.jpg?v=1782124337"},{"product_id":"yahboom-jetcobot-robot-arm","title":"Yahboom JetCobot Mkono wa Roboti wa Visual Collaborative wa 7-DOF kwa Jetson Nano B01 4GB\/Orin Nano SUPER\/Orin NX SUPER","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eJetCobot ni mkono wa roboti wa ushirikiano wa kuona wenye aksa 7 ambao unatumia bodi ya maendeleo ya NVIDIA Jetson kama bodi kuu ya kudhibiti (Jetson Nano B01 4GB \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER). Ukiwa na usanidi wa roboti kama wa UR, mfumo wa uendeshaji wa roboti wa ROS, na algorithimu ya kinematics ya kinyume, inasaidia udhibiti wa kuratibu, mipango ya mwendo, kushika, kupanga, na kazi zinazohusiana na mwingiliano wa kuona.\u003c\/p\u003e\u003cp\u003eJetCobot inajumuisha mkono wa roboti na mfumo wa kamera. Imewekwa na kamera ya USB ya 0.3MP (uoni wa digrii 110°) na inasaidia usindikaji wa picha wa OpenCV, kuona kwa mashine, na michakato ya kujifunza kwa kina kwa kazi kama vile mwingiliano wa rangi, kugundua\/kufuatilia uso, kutambua lebo, mafunzo ya mfano, na mwingiliano wa ishara.\u003c\/p\u003e\u003cdiv style=\"text-align:center;\"\u003e\u003ciframe height=\"695\" loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/IrUk3DUeCis\" title=\"JetCobot 7 axis visual collaborative robotic arm for Jetson NANO 4GB Orin NANO Orin NX\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/div\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMuundo wa 7-DOF wenye usanidi kama wa UR:\u003c\/strong\u003e Muundo laini wa mwili, wigo mkubwa wa mwendo, na nyaya za servo zilizofichwa (kama ilivyoelezwa katika jedwali la kulinganisha).\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eInversi ya kinematics + mchakato wa ROS:\u003c\/strong\u003e Inasaidia udhibiti wa kuratibu na mipango ya mwendo. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt + RViz msaada:\u003c\/strong\u003e Inajumuisha mfano wa simulation wa kinematics wa URDF, udhibiti wa simulation wa MoveIt\/mipango ya njia, kugundua migongano, na hali za kushika nafasi. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUtambuzi wa kuona wa AI na ufuatiliaji wa malengo:\u003c\/strong\u003e Utambuzi wa rangi na ufuatiliaji, kupanga vizuizi vya rangi, kushika vizuizi vya rangi, mwingiliano wa rangi, utambuzi na ufuatiliaji wa uso, na utambuzi wa lebo\/kuweka kwa akili (mifumo ya lebo ya Apriltag). \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eKujifunza kwa kina \/ mafunzo ya mfano:\u003c\/strong\u003e Inasaidia mchakato wa uainishaji wa taka na mifano ya kushika kulingana na eneo (utambulisho wa eneo: kushika na kuweka; kugundua eneo: kubinafsisha kushika). \u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eMaendeleo ya MediaPipe \/ sasisho la mwingiliano wa AI:\u003c\/strong\u003e Kundi la vitendo vya udhibiti wa ishara, rundo la udhibiti wa kutambua ishara, kutambua mkono wa roboti na kufuatilia kiganja, na udhibiti wa mkao wa ishara kwa mkono wa roboti.\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eNjia nyingi za udhibiti:\u003c\/strong\u003e Inasaidia udhibiti wa simulation wa MoveIt, udhibiti wa kushughulikia, na udhibiti wa wavuti ya PC (udhibiti wa Jupyter Lab pia umeonyeshwa).\u003c\/li\u003e \n\u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBidhaa\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetCobot AI mkono wa roboti wa ushirikiano wa kuona\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDigrii za uhuru\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUpana wa mkono wa ufanisi wa juu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e270MM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiwango cha kuzunguka kwa viungo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-153° hadi 153°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUsahihi wa kurudiwa kwa nafasi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.3MP kamera ya USB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUwanja wa mtazamo wa kamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e110°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiwango cha picha za kamera (kinavyoonyeshwa)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVipimo vya kuona (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePicha ya 2D tambarare\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper (kinavyoonyeshwa)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eGripper ya umeme\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAngle ya kufungua-kufunga gripper (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKiwango cha gripper (kinavyoonyeshwa)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20-45mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNguvu ya gripper (kinavyoonyeshwa)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e150g nguvu\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAina ya muundo (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMuundo wa roboti kama UR\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUdhibiti mkuu (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eFunction (chati)\u003c\/strong\u003e\u003c\/td\u003e\u003ctd\u003eUdhibiti wa muunganisho; Mpango wa mwendo wa MoveIt; Simulizi ya roboti ya RViz; Maingiliano ya kuona ya 2D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSauti (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eOnyesho (chati)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eChaguzi za Udhibiti wa Jetson Master (Chati ya Marejeleo)\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBodi kuu ya udhibiti\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01 4GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 4GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX SUPER 8GB\u003c\/td\u003e\n\u003ctd\u003eJetson Orin NX SUPER 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNguvu ya kompyuta\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.5TFLOPS (FP16)\u003c\/td\u003e\n\u003ctd\u003e34 TOPS\u003c\/td\u003e\n\u003ctd\u003e67 TOPS\u003c\/td\u003e\n\u003ctd\u003e117 TOPS\u003c\/td\u003e\n\u003ctd\u003e157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 cores Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e6-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd\u003e8-core NVIDIA Arm Cortex-A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e128 cores NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003ctd\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR4 25.6GB\/s\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 51GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003ctd\u003e16GB 128-bit LPDDR5 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHifadhi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC + 64GB U disk\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e256GB SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNguvu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5W - 10W\u003c\/td\u003e\n\u003ctd\u003e7W, 10W, 25W\u003c\/td\u003e\n\u003ctd\u003e7W, 15W, 25W\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e10W, 15W, 25W, 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eToleo la mfumo wa ROS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUbuntu18.04 + ROS1 Melodic\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eUbuntu22.04 LTS + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eChati pia inaonyesha kwamba mbinu za matumizi za bodi za kudhibiti mfululizo wa Jetson ni sawa; bodi tofauti za kudhibiti zinaathiri utendaji wa JetCobot.\u003c\/p\u003e\u003ch2\u003eTofauti ya Kazi\/Utendaji Iliyopimwa (Chati ya Marejeo)\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Nano Toleo\u003c\/strong\u003e\u003cbr\u003eWakati wa kuanzisha programu \/ Kiwango cha fremu za programu zinazotembea\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin Nano SUPER 8GB Toleo\u003c\/strong\u003e\u003cbr\u003eWakati wa kuanzisha programu \/ Kiwango cha fremu za programu zinazotembea\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin NX SUPER 16GB Toleo\u003c\/strong\u003e\u003cbr\u003eWakati wa kuanzisha programu \/ Kiwango cha fremu za programu zinazotembea\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKuanzisha roboti\u003c\/td\u003e\n\u003ctd\u003e43s Uanzishaji wa mkono wa roboti umekamilika \/ \/\u003c\/td\u003e\n\u003ctd\u003e38s Uanzishaji wa mkono wa roboti umekamilika \/ \/\u003c\/td\u003e\n\u003ctd\u003e37s Uanzishaji wa mkono wa roboti umekamilika \/ \/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKazi ya msingi ya kuona (Utambuzi wa rangi)\u003c\/td\u003e\n\u003ctd\u003e6s \/ 12s\u003c\/td\u003e\n\u003ctd\u003e5s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e4s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUainishaji wa taka wa Yolov5\u003c\/td\u003e\n\u003ctd\u003e31s \/ 6s\u003c\/td\u003e\n\u003ctd\u003e17s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e16s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003eMediapipe kugundua uso\u003c\/td\u003e\n\u003ctd\u003e13s \/ 30s\u003c\/td\u003e\n\u003ctd\u003e8s \/ 30fps-40fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps-50fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKufuatilia block ya rangi\u003c\/td\u003e\n\u003ctd\u003e10s \/ 30s\u003c\/td\u003e\n\u003ctd\u003e7s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e5s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKutambua msimbo wa tag ya Apriltag\u003c\/td\u003e\n\u003ctd\u003e5s \/ 25s\u003c\/td\u003e\n\u003ctd\u003e3s \/ 30fps\u003c\/td\u003e\n\u003ctd\u003e3s \/ 30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUundaji wa mfano wa RVIZ\u003c\/td\u003e\n\u003ctd\u003e16s \/ 31s\u003c\/td\u003e\n\u003ctd\u003e9s \/ 31fps\u003c\/td\u003e\n\u003ctd\u003e7s \/ 31fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003cp\u003eMaelezo yanayoonyeshwa na chati: JetCobot haijasanidiwa na teknolojia ya kontena ya Docker; inatumia mazingira ya kazi ya usanidi wa picha asilia rasmi ili kutoa uwezo kamili wa utendaji wa bodi kuu.Data hii inatokana na mtihani halisi wa maabara ya Yahboom; utendaji wa Jetson Orin Nano SUPER 4GB na 8GB ni sawa, na utendaji wa Jetson Orin NX SUPER 8GB na 16GB uko karibu.\u003c\/p\u003e\u003ch2\u003eNi Nini Imejumuishwa\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003emyCobot280 7-DOF mkono wa roboti wa ushirikiano (JetCobot)\u003c\/li\u003e\n\u003cli\u003eGripper ya umeme\u003c\/li\u003e\n\u003cli\u003eKamera ya USB\u003c\/li\u003e\n\u003cli\u003eUdhibiti mkuu wa Jetson (Jetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER, kulingana na toleo)\u003c\/li\u003e\n\u003cli\u003eOnyesho la OLED (iliyoorodheshwa katika jedwali la orodha ya usafirishaji)\u003c\/li\u003e\n\u003cli\u003eVifaa (kama ilivyoorodheshwa katika jedwali la orodha ya usafirishaji)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJifunze ROS, kinematics, na mipango ya mwendo (MoveIt \/ RViz)\u003c\/li\u003e\n\u003cli\u003eMaono ya mashine na majaribio ya mwingiliano yanayotumia OpenCV\u003c\/li\u003e\n\u003cli\u003eMaonyesho ya mwingiliano wa AI: kufuatilia rangi, kutambua lebo (Apriltag), kutambua ishara, na michakato ya mafunzo ya modeli\u003c\/li\u003e\n\u003cli\u003eKushika, kupanga, na kazi za msingi za kuchukua na kuweka kulingana na koordinaati za desktop\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMaelekezo \/ Hati\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eMafunzo: \u003ca href=\"https:\/\/www.yahboom.net\/study\/JetCobot\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/www.yahboom.net\/study\/JetCobot\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eKwa msaada wa uchaguzi wa mauzo ya awali au msaada baada ya mauzo, wasiliana na \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e au tuma barua pepe kwa support@rcdrone.top. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e Maelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Comparison chart highlighting JetCobot vs other ROS robotic arm masters, with key specs and features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson.jpg?v=1782282303\"\u003e\u003cp\u003eComparing JetCobot na chaguzi zingine za udhibiti wa ROS ili kuchagua jukwaa sahihi kwa programu yako.\u003c\/p\u003e\n\u003cimg alt=\"Specs table for DOFBOT SE ROS master control, listing accuracy, arm span, camera type, and functions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_aaeae710-13e3-4f24-8b8e-73a5c7b4ef27.jpg?v=1782282309\"\u003e\u003cp\u003eMajukwaa mengi ya mikono ya Yahboom yanashiriki mtiririko wa kazi wa ROS unaofanana, wakati chaguzi za vifaa na maono zinatofautiana kwa mfano.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO comparison table featuring depth camera option and 3D visual interaction capability\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-JetCobot-7-DOF-Visual-Collaborative-Robotic-Arm-for_84bf5956-5413-46cb-8060-2c158075feb8.webp?v=1782283067\"\u003e\u003cp\u003eUsanidi wa kamera ya kina unasaidia kazi za maono ya 3D kama vile ufuatiliaji wa umbali na mwingiliano.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot comparison chart listing 7-DOF, 270 mm reach, ±0.5 mm repeat accuracy, and UR-like structure\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_efd5eed9-5cfd-4aa6-a271-8b15625020c6.jpg?v=1782282323\"\u003e\u003cp\u003eJetCobot inazingatia muundo wa 7-DOF kama wa UR wenye kurudiwa kwa kiwango cha milimita kwa kazi za mwendo zilizo na uratibu.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot 7-DOF AI visual collaborative robotic arm kit with base, arm, and packaging\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e0a9cab0-644c-4626-bd1f-1fa19fcd6150.jpg?v=1782282330\"\u003e\u003cp\u003eYahboom JetCobot ni mkono wa roboti wa ushirikiano wa kuona wa 7-DOF uliojengwa kuzunguka bodi za udhibiti za NVIDIA Jetson.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot product introduction poster with icons for ROS, MoveIt, RViz, OpenCV, deep learning, and MediaPipe\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_5b86fb6f-b46f-4dd2-8f59-947df63bbeed.jpg?v=1782282336\"\u003e\u003cp\u003eSeti kamili ya programu inasaidia udhibiti wa ROS, mipango ya MoveIt, uonyeshaji wa RViz, na maono yanayotegemea OpenCV.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin SUPER performance overview graphic comparing Nano B01, Orin Nano, and Orin NX options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e1ec7445-e676-4ec6-8ef9-1168a0b129c0.jpg?v=1782282343\"\u003e\u003cp\u003eChagua Jetson Nano B01, Orin Nano SUPER, au Orin NX SUPER kulingana na kompyuta inayohitajika kwa pipeline yako ya AI.\u003c\/p\u003e\u003cimg alt=\"Jetson series selection matrix for ROS master control, with CPU\/GPU specs, memory, and Ubuntu\/ROS versions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_90ffa877-a73d-4426-9b58-19d83f01c100.jpg?v=1782282349\"\u003e\u003cp\u003eUlinganisho wazi wa Jetson husaidia kulinganisha uwezo wa CPU\/GPU na uwezo wa kumbukumbu kwa kazi za ROS na maono.\u003c\/p\u003e\n\u003cimg alt=\"Function operation difference table for JetCobot across Jetson versions, with task timing and FPS metrics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_dbca39ea-3f4f-464b-b4b2-88f6b67de79b.jpg?v=1782282356\"\u003e\u003cp\u003eUtendaji hutofautiana kulingana na kidhibiti cha Jetson, wakati seti za vipengele vya JetCobot na mifano ya kozi zinabaki kuwa thabiti.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot UR-like robot configuration photo highlighting smooth arm design and hidden wiring concept\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_eca15570-dace-422d-80ba-993fbdf2c547.jpg?v=1782282362\"\u003e\u003cp\u003eMpangilio kama wa UR unatoa anuwai kubwa ya mwendo na ujenzi safi kwa matumizi ya darasani na maabara.\u003c\/p\u003e\n\u003cimg alt=\"Analysis graphic comparing JetCobot 7-DOF UR-like design vs typical 6-DOF arms, wiring, reach, and control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3e251162-beec-404f-84af-fa3bcb43b9c4.jpg?v=1782282370\"\u003e\u003cp\u003eMpangilio wa 7-DOF unaboresha kubadilika kwa kuweka, kushika, na kupanga njia katika maeneo ya kazi yenye nafasi finyu.\u003c\/p\u003e\n\u003cimg alt=\"Integrated robotic arm and camera setup scanning color blocks; text notes ±0.5 mm repeat positioning accuracy\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_bd82f7be-85c1-41f5-af18-d71b9971dda3.jpg?v=1782282376\"\u003e\u003cp\u003eKamera ya USB iliyojumuishwa inaruhusu kuchukua na kupanga kazi za kuona bila mipangilio ngumu ya kamera za nje.\u003c\/p\u003e\n\u003cimg alt=\"AI visual recognition and target tracking examples: color sorting, grabbing, interaction, tag stacking, tracking\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_33c4bf44-5901-4d97-865e-30b2428f3a77.jpg?v=1782282382\"\u003e\u003cp\u003eMaonyesho yaliyojengwa ndani yanashughulikia utambuzi wa rangi, kupanga vizuizi, kuweka kulingana na lebo, na mwingiliano unaotegemea ufuatiliaji.\u003c\/p\u003e\n\u003cimg alt=\"Deep learning and MediaPipe feature panel: model training, region detection grabbing, gesture recognition control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3667f00d-b2cb-4ade-8881-98a34defc6c1.jpg?v=1782282389\"\u003e\u003cp\u003eTumia mafunzo ya modeli za kujifunza kwa kina na mwingiliano wa ishara za MediaPipe kujenga kazi za kuchukua na kuweka zenye majibu zaidi.\u003c\/p\u003e\u003cimg alt=\"MoveIt kinematics and planning collage for JetCobot, including URDF model, collision detection, and spatial grip\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-JetCobot-7-DOF-Visual-Collaborative-Robotic-Arm-for_2481be8e-2806-47bd-a138-4dd57560895c.webp?v=1782283096\"\u003e\u003cp\u003eMoveIt na mifano ya URDF inasaidia simulation, mipango ya njia, na ukaguzi wa mgongano kabla ya kuendesha kwenye vifaa.\u003c\/p\u003e\n\u003cimg alt=\"Cross-platform remote control options: web-based JupyterLab control and USB gamepad teleoperation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ad599ce9-0cb2-4eab-a518-3f75222b6bd0.jpg?v=1782282413\"\u003e\u003cp\u003eKontroli JetCobot kupitia mazingira ya Jupyter yanayotumia kivinjari au gamepad ya USB kwa majaribio ya haraka na maonyesho.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics algorithm graphic with multi-pose arm overlay for coordinate-based positioning control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ab06a26e-32dd-43b6-af1c-3c8e75002fd4.jpg?v=1782282418\"\u003e\u003cp\u003eKinematics ya kinyume inaruhusu kuingiza koordina kwa ajili ya kuweka nafasi kwa kurudiwa na mwelekeo thabiti wa kipande cha mwisho.\u003c\/p\u003e\n\u003cimg alt=\"7-DOF collaborative robot joint map labeled J1–J7 on JetCobot arm beside a laptop and Jetson carrier base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_ff4f27c9-6142-4345-9339-52b0badca18d.jpg?v=1782282424\"\u003e\u003cp\u003eViungo saba (J1–J7) vinatoa unyumbufu wa ziada kwa mipango ya mwendo na kushika kwa uratibu.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm working radius diagram with 270mm reach and J1 base rotation range ±153°\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_3dd4ecc7-0109-42f3-9c24-0939f2c56476.jpg?v=1782282430\"\u003e\u003cp\u003eJetCobot inatoa upana wa mkono wa ufanisi wa 270mm (bila gripper), na mzunguko wa msingi wa J1 wa ±153° na kurudiwa kwa ±0.5mm.\u003c\/p\u003e\n\u003cimg alt=\"Graphic describing ROS Robot Operating System support for Yahboom JetCobot, listing ROS2 Humble and ROS1 Melodic.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_4866e742-6434-40a6-843f-03feeb456565.jpg?v=1782282436\"\u003e\u003cp\u003eJetCobot imejengwa kuzunguka Mfumo wa Uendeshaji wa Roboti wa ROS na inaorodhesha ulinganifu na ROS2 Humble na ROS1 Melodic.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm beside a monitor showing MoveIt simulation control interface for a 7-DOF collaborative arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_b3313966-865b-4396-9981-fb80a331e21c.jpg?v=1782282442\"\u003e\u003cp\u003eKuunga mkono simulation ya MoveIt kunaruhusu mkono wa roboti wa JetCobot kujaribiwa na kudhibitiwa katika mazingira ya virtual kabla ya kuendesha kwenye vifaa.\u003c\/p\u003e\u003cimg alt=\"Yahboom JetCobot robotic arm kit with gripper, USB HD camera, OLED screen, suction-cup base and metal chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_6d005e8f-795c-4a88-a0fe-6ea5ac025c3d.jpg?v=1782282448\"\u003e\u003cp\u003eKit ya mkono wa JetCobot inachanganya gripper, kamera ya USB HD, skrini ya OLED, na msingi wa sugu wa kunyonya kwa mipangilio thabiti ya mezani.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot robotic arm with USB HD camera module and motorized gripper mounted on the end effector\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_e2a9bcc9-b877-484f-931c-6060e803ac68.jpg?v=1782282454\"\u003e\u003cp\u003eMkono wa JetCobot unachanganya kamera ya USB HD (480p, 30 fps, 110° uwanja wa mtazamo) na gripper ya umeme yenye ukubwa mdogo kwa kazi za kuchukua na kuweka zinazotegemea maono.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot course outline table listing lessons on assembly, ROS\/Ubuntu setup, SLAM, AI vision, tracking, and grasping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_0ffe5546-ccc4-4f1a-8477-07c0546702bd.jpg?v=1782282461\"\u003e\u003cp\u003eMtaala wa JetCobot unashughulikia usanidi na mkusanyiko, misingi ya ROS\/Ubuntu, ramani ya SLAM, maono ya AI na MediaPipe, na mazoezi ya kufuatilia na kushika kwa macho.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot tutorial materials page with download folders and course sections, plus study link yahboom.net\/study\/JetCobot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_a5611231-0544-435e-a6f1-6c183c89b9cd.jpg?v=1782282467\"\u003e\u003cp\u003eVifaa vya mafunzo ya JetCobot vinajumuisha folda za kupakua zilizopangwa na maudhui ya kozi kama vile misingi ya maono ya AI na Mediapipe, pamoja na kiungo cha masomo katika yahboom.net\/study\/JetCobot.\u003c\/p\u003e\n\u003cimg alt=\"Course resource overview for Yahboom JetCobot, listing AI visual tracking\/grabbing, MoveIt, ROS2 tutorials, and Python code\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_d3ec8db1-b973-416d-8731-086ebdb6d5e3.jpg?v=1782282473\"\u003e\u003cp\u003eRasilimali za kujifunza za JetCobot zinajumuisha kozi za kufuatilia na kushika kwa maono ya AI, mafunzo ya MoveIt, misingi ya ROS2, na msimbo wa chanzo wazi wa Python.\u003c\/p\u003e\n\u003cimg alt=\"JetCobot robotic arm with gripper dimension drawing showing overall height and base footprint measurements in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_72c5e71d-9f4d-49dd-8806-42337a7bc578.jpg?v=1782282479\"\u003e\u003cp\u003eJetCobot na vipimo vya gripper vinatolewa kwa milimita ili kusaidia kupanga nafasi ya kufunga na nafasi ya jumla ya mkono.\u003c\/p\u003e\u003cimg alt=\"JetCobot 7-DOF visual collaborative robotic arm specs table with Python support, ROS options, and camera details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_b5ff15d3-ad07-476e-846e-4ab9f0713144.jpg?v=1782282485\"\u003e\u003cp\u003eJetCobot inasaidia programu ya Python na chaguo za ROS kwa Jetson Nano B01 na Jetson Orin Nano\/NX, pamoja na kamera ya 0.3MP yenye umakini wa kudumu (480P, 30fps, 110° pembe pana).\u003c\/p\u003e\n\u003cimg alt=\"Yahboom JetCobot shipping list with gripper, USB camera, chassis parts, power adapter, cables, and Jetson accessory options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/JetCobot-7-axis-visual-collaborative-robotic-arm-for-Jetson_35be5862-c547-481f-b53f-986a2b5d3af9.jpg?v=1782282491\"\u003e\u003cp\u003eKit ya JetCobot inajumuisha gripper, kamera ya USB, vipengele vya chasi, adapta ya nguvu, na wiring, pamoja na vifaa vya hiari vya Jetson Nano\/Orin vilivyoorodheshwa.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Pamoja na Jetson NANO 4GB","offer_id":53135867576544,"sku":"3000200636-1","price":1167.8,"currency_code":"USD","in_stock":true},{"title":"Pamoja na Jetson Orin NANO 4GB SUPER","offer_id":53135867609312,"sku":"3000200636-2","price":1443.8,"currency_code":"USD","in_stock":true},{"title":"Pamoja na Jetson Orin NANO 8GB SUPER","offer_id":53135867642080,"sku":"3000200636-3","price":1515.8,"currency_code":"USD","in_stock":true},{"title":"Pamoja na Jetson Orin NX 8GB SUPER","offer_id":53135867674848,"sku":"3000200636-4","price":1899.8,"currency_code":"USD","in_stock":true},{"title":"Na Jetson Orin NX 16G SUPER","offer_id":53135867707616,"sku":"3000200636-5","price":2295.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JETCOBOT_Yahboom_01.jpg?v=1782125324"},{"product_id":"yahboom-dofbot-ai-robot-arm-1","title":"Yahboom DOFBOT AI Mkono wa Roboti wa Maono wa Mfano Mkubwa (6-DOF) ROS2 Python kwa Jetson NANO 4GB B01\/SUB","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eYahboom DOFBOT ni mfano mkubwa wa AI wa kuona \u003cstrong\u003emkono wa roboti\u003c\/strong\u003e ulioandaliwa kwa ajili ya maendeleo ya ROS2 na programu za Python3 kwenye Jetson NANO 4GB (B01\/SUB). Inajumuisha kamera ya USB HD pamoja na mkono wa roboti wa desktop wa 6-DOF na inasaidia programu za kuona za AI kama vile ufuatiliaji wa rangi, utambuzi wa ishara, ufuatiliaji wa uso, mwingiliano wa kuona, na maonyesho ya kupanga. Muundo unatumia aloi ya alumini iliyooza kijani, ikiwa ni pamoja na bracket ya aloi ya alumini yenye unene wa 2mm, na chasi ya kunasa kwa ajili ya kuweka kwa uthabiti.\u003c\/p\u003e\u003ch2\u003eVipengele Muhimu\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eUshirikiano wa mkono wa 6-DOF + kamera:\u003c\/strong\u003e “Ushirikiano wa Mkono wa Roboti–Kamera” wenye “Nyuso 6 za Uhuru”.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMaendeleo ya ROS2:\u003c\/strong\u003e ROS2 Humble imeainishwa (Docker + ROS2 Humble). Inasaidia simulation ya roboti ya RViz na mipango ya mwendo ya MoveIt.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStack ya mwingiliano wa kuona ya AI \u0026amp; :\u003c\/strong\u003e OpenCV, MediaPipe, YOLOv11, algorithm ya kinematics ya kinyume.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eMuunganisho wa mfano mkubwa wa AI wa njia nyingi (uwezo ulioorodheshwa):\u003c\/strong\u003e Msingi wa maarifa wa RAG unaoweza kupanuliwa, uelewa wa maana ya maandiko, mazungumzo ya sauti ya asili, na uelewa wa mandhari ya kuona. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMbinu za kudhibiti:\u003c\/strong\u003e Programu ya simu ya Android\/iOS, udhibiti wa kompyuta mwenyeji wa PC, na udhibiti wa mbali wa USB (kiwango cha kawaida). \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMpangilio rafiki kwa waanziaji:\u003c\/strong\u003e Imeandaliwa kabla ya kutumwa; kadi ya TF yenye picha ya kiwanda kwa kuunganisha na kucheza; mipangilio ya mtandao ya QR-code ya programu; mafunzo na msimbo unapatikana. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eServos \u0026amp; upanuzi: \u003c\/strong\u003e Servos 6 HQ; bodi ya upanuzi yenye kazi nyingi inayofaa na Jetson NANO, Raspberry Pi, Arduino, na Micro:bit. Mipangilio ya servo imeorodheshwa kama 5×15KG bus servo + 1×6KG bus servo. \u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaelezo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBidhaa\u003c\/td\u003e\n\u003ctd\u003eDOFBOT AI Large Model Visual Robotic Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigrii za uhuru\u003c\/td\u003e\n\u003ctd\u003e6\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUpana wa mkono\u003c\/td\u003e\n\u003ctd\u003e350mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGripper fungua-funga\u003c\/td\u003e\n\u003ctd\u003e6cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUsahihi wa kuweka tena nafasi\u003c\/td\u003e\n\u003ctd\u003e±0.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKamera\u003c\/td\u003e\n\u003ctd\u003eKamera ya USB HD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensheni ya kuona\u003c\/td\u003e\n\u003ctd\u003ePicha ya 2D tambarare\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSauti\u003c\/td\u003e\n\u003ctd\u003eModuli ya sauti ya mfano mkubwa wa AI + spika\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOnyesho\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAina ya muundo\u003c\/td\u003e\n\u003ctd\u003eMuundo wa mkono wa roboti wa jadi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMfumo wa ROS\u003c\/td\u003e\n\u003ctd\u003eDocker + ROS2 Humble\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMajukumu (iliyoorodheshwa)\u003c\/td\u003e\n\u003ctd\u003eUdhibiti wa uhusiano; Mpango wa mwendo wa MoveIt; Simulering ya roboti ya RViz; Maingiliano ya kuona ya 2D; maingiliano ya sauti; mfano mkubwa wa AI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eKidhibiti kikuu (iliyoorodheshwa)\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi \/ Jetson Nano B01\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNyenzo (muundo)\u003c\/td\u003e\n\u003ctd\u003eAlumini ya oksidi ya kijani; unene wa bracket ya alumini 2mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMsingi\u003c\/td\u003e\n\u003ctd\u003eChasi ya kunyonya\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eJetson NANO 4GB SUB Maelezo (iliyoorodheshwa)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eJetson NANO 4GB SUB inaelezewa kama: CPU ya quad-core Cortex-A57, GPU ya 128-core Maxwell, kumbukumbu ya 4GB LPDDR, na nguvu ya kompyuta ya 472GFLOP.\u003c\/li\u003e\u003cli\u003eFrameworks za AI zinazoungwa mkono zimeorodheshwa: TensorFlow, Pytorch, caffe\/caffe2, Keras, MXNET, nk.\u003c\/li\u003e\n\u003cli\u003eJetson NANO 4GB SUB imewekwa kama \u003cstrong\u003eHiari\u003c\/strong\u003e. \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMaono ya AI \u0026amp; Maonyesho ya Mfano Mkubwa (mfano unaoonyeshwa)\u003c\/h2\u003e\u003cul\u003e\n \u003cli\u003eKazi za mwingiliano wa maono ya AI: ufuatiliaji wa utambuzi wa rangi, kukamata vizuizi vya rangi, mwingiliano wa rangi, mchezo wa kukamata, kupanga taka, kuunganisha vizuizi vya rangi.\u003c\/li\u003e\n\u003cli\u003eMaonyesho ya kujifunza mashine ya MediaPipe: kundi la vitendo vya mkono wa roboti wa kudhibiti ishara, kuunganisha utambuzi wa ishara, utambuzi\/ufuataji wa kiganja, kudhibiti mkao wa mkono.\u003c\/li\u003e\n\u003cli\u003eMaombi ya mfano mkubwa wa multimodal: uchambuzi wa video, kudhibiti mwendo wa amri ndefu, kushughulikia kwa akili, kupanga nafasi ya 3D.\u003c\/li\u003e\n\u003cli\u003eMaombi ya akili iliyojumuishwa: vizuizi vya rangi kurudi mahali, ufuatiliaji wa kuona (KCF), kupanga taka (YOLOv11), uelewa wa nia (RAG knowledge base).\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eMaelezo kutoka kwa vifaa vilivyotolewa:\u003c\/strong\u003e “Mfunzo wa mfano unahitaji kufanywa na mtumiaji.” Vifaa vingine vya scene (e.g. , kikapu cha takataka) vimeelezewa kama vifaa vya kuonyesha na havijajumuishwa.\u003c\/p\u003e\u003ch2\u003e Simulizi ya MoveIt \/ RViz \u0026amp; Mpango (iliyoorodheshwa)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e Udhibiti wa simulizi ya MoveIt na mpango wa njia.\u003c\/li\u003e\n\u003cli\u003eUungwaji mkono wa URDF na udhibiti wa kuona wa RViz (udhibiti wa kuburuta na kuacha, udhibiti wa nafasi iliyowekwa, kuepuka vizuizi).\u003c\/li\u003e\n\u003cli\u003eUgunduzi wa mgongano na “ushikaji wa nafasi” umeonyeshwa kama kazi za simulizi zinazoungwa mkono.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eNi Nini Kimejumuishwa\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eKidole cha roboti cha DOFBOT kilichokusanywa kabla ya usafirishaji\u003c\/li\u003e\n\u003cli\u003eKadi ya TF yenye faili ya picha ya kiwanda\u003c\/li\u003e\n\u003cli\u003eRemote control ya USB yenye nyaya (kawaida)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMafunzo \/ Video\u003c\/h2\u003e\u003cp\u003eMafunzo ya mtandaoni: \u003ca href=\"http:\/\/www.yahboom.net\/study\/Dofbot-Jetson_nano\" rel=\"noopener\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Dofbot-Jetson_nano\u003c\/a\u003e\u003c\/p\u003e\u003ciframe height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/cVIAQJe-gYc\" title=\"What can Yahboom ai large model robotic arm do for you\" width=\"943\"\u003e\u003c\/iframe\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/ItNkqKXdRGk\" title=\"Yahboom DOFBOT AI Vision Robotic Arm with ROS Python programming for Jetson NANO 4GB(B01\/SUB)\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003ch2\u003eMsaada\u003c\/h2\u003e\u003cp\u003eKuhusu maswali ya ulinganifu (chaguzi za kidhibiti cha Jetson\/Raspberry Pi), uthibitisho wa usanidi, au msaada baada ya mauzo, wasiliana na \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e au tuma barua pepe \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e. \u003c\/p\u003e \u003ch2 id=\"details\"\u003eMaelezo\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"DOFBOT AI vision robotic arm overview table for Jetson Nano B01—6-DOF, 350mm reach, USB HD camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_f5e9942c-55bd-4d29-a619-cd83b5109a78.jpg?v=1782219438\"\u003e\u003cp\u003eDOFBOT inachanganya mkono wa desktop wa 6‑DOF na kamera ya HD ya USB kwa maendeleo ya maono ya AI ya ROS2 Python, ikiwa na ul reach wa 350mm na ±0.5mm kurudiwa.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT SE spec comparison table—PC virtual machine control, 6-DOF arm, USB HD camera, ROS features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_c05ede1e-bc2c-4751-a58c-fd1b4436e0fc.jpg?v=1782219444\"\u003e\u003cp\u003eChagua jukwaa la udhibiti linalofaa kwa mpangilio wa maabara yako, kutoka mazingira ya PC hadi maendeleo ya AI yanayotegemea Jetson.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT-PRO comparison chart with depth camera option and 3D visual interaction features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_13e4787e-f2cf-4a71-912a-6cc81ada1ce4.jpg?v=1782219450\"\u003e\u003cp\u003eUsanidi ulioboreshwa unajumuisha maono ya kina na chaguzi za mwingiliano wa 3D kwa maonyesho ya hali ya juu zaidi.\u003c\/p\u003e\u003cimg alt=\"JETCOBOT comparison table highlighting 7-DOF arm, 270mm reach, and ROS interconnection features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fbe95d00-1eba-44a5-8491-cb1e69a350ca.jpg?v=1782219455\"\u003e\u003cp\u003eMikakati mbadala ya mikono inapatikana wakati muundo tofauti wa kufikia au kiwango cha uhuru unahitajika.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT AI large model visual robotic arm product poster with 6-DOF camera integration\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_3abeab50-06ce-4d27-a08b-4a03350d7ca0.jpg?v=1782219462\"\u003e\u003cp\u003eJukwaa la DOFBOT lililokusanywa tayari kwa ajili ya kujifunza kwa mwongozo, majaribio, na majaribio ya haraka ya ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Feature highlights for DOFBOT—multimodal AI fusion, 6-DOF camera arm, apps, and algorithm frameworks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_10d0db9b-42f2-43a7-b931-03df3b52e1c8.jpg?v=1782219468\"\u003e\u003cp\u003eImejengwa kusaidia mtiririko wa kazi wa mtazamo wa OpenCV na miradi ya mwingiliano wa kiwango cha juu katika mfumo mmoja wa kompyuta.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Nano 4GB SUB computing-power poster with DOFBOT arm and optional Jetson board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_051b5e18-4c23-4126-824b-648b8cd51799.jpg?v=1782219473\"\u003e\u003cp\u003eJetson Nano 4GB SUB wa hiari unatoa kompyuta ya ndani kwa kazi za mtazamo wa AI kwenye ukingo na maendeleo ya Python.\u003c\/p\u003e\n\u003cimg alt=\"Multimodal large model application examples—video analysis, long-command control, intelligent handling, sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_20c32e94-6135-49ab-a731-be6e1909e9a3.jpg?v=1782219480\"\u003e\u003cp\u003eMtiririko wa maonyesho unashughulikia mwingiliano wa asili, utekelezaji wa kazi, na hali za msingi za kupanga kwa mazoezi ya vitendo.\u003c\/p\u003e\n\u003cimg alt=\"Embodied intelligence demos—color block placement, visual tracking, garbage sorting, and intent inference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b9a2e727-22dc-40b0-aa23-0dfb844845aa.jpg?v=1782219487\"\u003e\u003cp\u003eTabia zinazoongozwa na mtazamo zinajumuisha kufuatilia malengo na kutekeleza vitendo rahisi vya kuchukua na kuweka.\u003c\/p\u003e\n\u003cimg alt=\"Fun AI large model gameplay grid—math, problem solving, nutrition, spelling, pointing, and cooking prompts\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_fd703894-83dc-402e-aad9-ab803899b4e6.jpg?v=1782219493\"\u003e\u003cp\u003eMichezo ya kujifunza ya mwingiliano husaidia kuchunguza kazi za mtazamo pamoja na lugha katika muundo unaofaa darasani.\u003c\/p\u003e\u003cimg alt=\"AI vision interactive functions—color tracking, catch game, grab blocks, gesture color interaction, sorting\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e774df22-82c9-4d4d-8766-514bed145656.jpg?v=1782219499\"\u003e\u003cp\u003eMaonyesho ya maono ya msingi yanajumuisha utambuzi wa rangi na ufuatiliaji, mchezo wa “kukamata” wa mwingiliano, na kupanga kulingana na sheria.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe machine learning and inverse kinematics page with gesture control, training, and IK diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_76434066-d493-4bcc-bfdf-0fa634ff9217.jpg?v=1782219505\"\u003e\u003cp\u003eInajumuisha dhana za mwingiliano wa ishara, mifano ya mafunzo ya mfano, na udhibiti wa mwendo wa kinyume-kinematiki.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt simulation control page showing RViz visualization, URDF, trajectory planning, and collision detection\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_7eaaba9e-b76f-4fe2-b157-d26825928475.jpg?v=1782219512\"\u003e\u003cp\u003eTumia MoveIt na simulering ya RViz na mipango ya mwendo ili kujaribu njia na mantiki ya kushika kabla ya kuendesha moja kwa moja.\u003c\/p\u003e\n\u003cimg alt=\"ROS robot operating system and ROS2 Humble page with cross-platform remote control options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_daada76a-6c22-43e7-9c66-64327eb03e4c.jpg?v=1782219518\"\u003e\u003cp\u003eSupport ya ROS2 Humble inashirikiana na programu ya simu, udhibiti wa PC, na chaguzi za mbali za USB kwa uendeshaji rahisi.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app gameplay page with gesture grasping, face tracking (blurred), and custom action group learning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_4ae522b7-4532-48e4-a04f-43b55557a927.jpg?v=1782219525\"\u003e\u003cp\u003eUdhibiti wa programu unajumuisha mchezo unaoendeshwa na ishara, maonyesho ya ufuatiliaji, na vikundi vya vitendo vya kawaida kwa harakati zinazoweza kurudiwa.\u003c\/p\u003e\n\u003cimg alt=\"6-DOF robotic arm labeled joints J1–J6 with USB camera mounted above gripper on desktop base\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_59754790-1b0c-47b6-a780-1167e18b466b.jpg?v=1782219531\"\u003e\u003cp\u003eViungo sita vilivyohamishika (J1–J6) vinatoa nafasi ndogo ya kazi kwa udhibiti wa mwendo unaoongozwa na maono na kufundisha harakati.\u003c\/p\u003e\n\u003cimg alt=\"Hardware configuration collage—anodized aluminum arm, bus servos, antennas, control boards, optional modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_e4e44e8c-eec2-492c-bb94-7bd925da0973.jpg?v=1782219536\"\u003e\u003cp\u003eChaguzi za vifaa vya moduli zinajumuisha servos za basi, bodi za upanuzi\/udhibiti, mtandao, na vipengele vya sauti vya hiari.\u003c\/p\u003e\u003cimg alt=\"Intelligent serial bus servo specs and DOFBOT robot arm expansion board pinout diagram\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_b404a7b4-c48f-4aaf-ad3f-b5fb89cf4ad6.jpg?v=1782219543\"\u003e\u003cp\u003eBodi ya upanuzi na servos za basi la serial hurahisisha wiring na kufanya iwe rahisi kupanua mkono kwa nyongeza.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT robotic arm USB camera module with lens mount, plus AI voice module board and speaker set\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_a16057f7-ff34-428d-8b33-f11aaa6e3aba.jpg?v=1782219549\"\u003e\u003cp\u003eKifaa cha DOFBOT kinajumuisha moduli ya kamera ya USB (480p\/30fps, 110°) na moduli ya sauti ya AI yenye spika ndogo kwa ajili ya pembe na ingizo la sauti.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom DOFBOT Jetson Nano tutorial page on a laptop, promoting 200+ courses for the 6-DOF robotic arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_65919fd0-3817-465d-ac72-e52746e74624.jpg?v=1782219555\"\u003e\u003cp\u003eRasilimali za mafunzo za Yahboom DOFBOT zinajumuisha kozi zaidi ya 200 za mfumo wa kujifunza kuhusu usanidi wa mkono wa roboti na programu.\u003c\/p\u003e\n\u003cimg alt=\"DOFBOT course syllabus table for Yahboom DOFBOT AI vision robotic arm training, with modules and lesson outlines\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_33144a5c-5e33-416e-88cb-bb5332ef9c68.jpg?v=1782219562\"\u003e\u003cp\u003eMpango wa masomo wa DOFBOT uliojumuishwa unaelezea moduli za mafunzo na muhtasari wa masomo ili kuongoza usanidi na kujifunza.\u003c\/p\u003e\n\u003cimg alt=\"Infographic listing open-source code, tutorials, 3D model files, and support resources for Yahboom DOFBOT arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_26944d39-ca50-482b-bfe4-89632aea6259.jpg?v=1782219568\"\u003e\u003cp\u003eYahboom DOFBOT inajumuisha msimbo wa chanzo wazi na mafunzo ya kina, pamoja na faili za mfano wa 3D na rasilimali za msaada wa kiufundi baada ya mauzo.\u003c\/p\u003e\n\u003cimg alt=\"Dimension drawing and spec table for Yahboom DOFBOT 6-DOF vision robotic arm, with side and top views\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_aec92382-fa5c-4dfd-827a-bbfa5c9d77d8.jpg?v=1782219574\"\u003e\u003cp\u003eMKono wa roboti wa DOFBOT 6-DOF unajumuisha michoro ya vipimo na jedwali la spesifikesheni kusaidia kupanga usakinishaji na nafasi za kazi.\u003c\/p\u003e\u003cimg alt=\"Shipping list for Yahboom DOFBOT robotic arm kit with camera, OLED display, USB handle, cables, tools and manual\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_9fbc29a0-34ae-4443-867d-911e9908e56c.jpg?v=1782219580\"\u003e\u003cp\u003eKifaa cha DOFBOT kinajumuisha mkono wa roboti, kamera, onyesho la OLED, kushughulikia kidhibiti, nyaya, vikombe vya kunasa, screws, zana, na mwongozo.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Nano accessories list showing Jetson Nano 4GB board, cooling fan, SD card, Wi‑Fi card, and ribbon cable\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-DOFBOT-AI-Large-Model-Vision-Robotic-Arm-with-ROS2_488fe8af-bcb6-4b6a-b187-3dd1507fb2af.jpg?v=1782219586\"\u003e\u003cp\u003eVifaa vya Jetson Nano vinajumuisha bodi ya Nano 4GB (hiari), shabiki wa kupoza, kadi ya SD, kadi ya mtandao isiyo na waya, na nyaya za ribbon.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Standard-bila \/ Jetson NANO 4GB","offer_id":53137531601120,"sku":"6000200969-1","price":411.8,"currency_code":"USD","in_stock":true},{"title":"Standard-na \/ Jetson NANO 4GB","offer_id":53137531633888,"sku":"6000200969-2","price":675.8,"currency_code":"USD","in_stock":true},{"title":"Superior-bila \/ Jetson NANO 4GB","offer_id":53137531666656,"sku":"6000200969-3","price":447.8,"currency_code":"USD","in_stock":true},{"title":"Superior-na \/ Jetson NANO 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