{"product_id":"yahboom-jetcobot-robot-arm","title":"Yahboom JetCobot 7-DOF Visual Collaborative Robotic Arm for Jetson Nano B01 4GB\/Orin Nano SUPER\/Orin NX SUPER","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eJetCobot is a 7-axis visual collaborative robotic arm that uses an NVIDIA Jetson series development board as the main control board (Jetson Nano B01 4GB \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER). With a UR-like robot configuration, ROS robot operating system, and an inverse kinematics algorithm, it supports coordinate control, motion planning, gripping, sorting, and related vision-interaction tasks.\u003c\/p\u003e\u003cp\u003eJetCobot integrates a robotic arm and camera system. It is equipped with a 0.3MP USB camera (110° field of view) and supports OpenCV image processing, machine vision, and deep learning workflows for functions such as color interaction, face detection\/tracking, label recognition, model training, and gesture interaction.\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\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003e7-DOF structure with UR-like configuration:\u003c\/strong\u003e Smooth body design, large range of motion, and hidden servo wiring (as described in the comparison chart).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInverse kinematics + ROS workflow:\u003c\/strong\u003e Supports coordinate control and motion planning.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt + RViz support:\u003c\/strong\u003e Includes URDF kinematics simulation model, MoveIt simulation control\/trajectory planning, collision detection, and spatial gripping scenarios.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual recognition and target tracking:\u003c\/strong\u003e Color recognition and tracking, color block sorting, color block grabbing, color interaction, face recognition and tracking, and label recognition\/intelligent stacking (Apriltag label codes).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning \/ model training:\u003c\/strong\u003e Supports garbage classification workflows and region-based grabbing examples (region identification: grabbing and place; region detection: customize grabbing).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMediaPipe development \/ AI interaction upgrade:\u003c\/strong\u003e Gesture control action group, gesture recognition control stack, robotic arm recognition and palm tracking, and gesture posture control robotic arm.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMultiple control methods:\u003c\/strong\u003e Supports MoveIt simulation control, handle control, and PC web control (Jupyter Lab control is also shown).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eJetCobot AI visual collaborative robotic arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDegrees of freedom\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaximum effective arm span\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e270MM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJoint rotation range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e-153° to 153°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRepeat positioning accuracy\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\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0.3MP USB camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera field of view\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e110°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera frame rate (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e30fps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVisual dimension (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePlane 2D image\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eElectric gripper\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper open-close angle (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5cm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper range (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20-45mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGripper force (shown)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e150g force\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStructure type (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUR-like robot structure\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control (chart)\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 (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInterconnection control; MoveIt motion planning; RViz robot simulation; 2D visual interaction\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVoice (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDisplay (chart)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eJetson Master Control Options (Reference Chart)\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control board\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\u003eComputing power\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\u003eStorage\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\u003ePower\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\u003eROS system version\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\u003eThe chart also notes that the usage methods of multiple Jetson series control boards are basically the same; different control boards mainly affect JetCobot performance.\u003c\/p\u003e\u003ch2\u003eMeasured Function\/Performance Difference (Reference Chart)\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 Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin Nano SUPER 8GB Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003ctd\u003e\n\u003cstrong\u003eJetson Orin NX SUPER 16GB Version\u003c\/strong\u003e\u003cbr\u003eProgram start time \/ Program running frame rate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobot startup\u003c\/td\u003e\n\u003ctd\u003e43s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003ctd\u003e38s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003ctd\u003e37s Robotic arm initialization completed \/ \/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBasic visual function (Color recognition)\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\u003eYolov5 garbage classification\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\n\u003ctd\u003eMediapipe face detection\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\u003eColor block tracking\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\u003eApriltag tag code recognition\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\u003eRVIZ simulation modeling\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\u003eNotes shown with the chart: JetCobot is not configured with Docker container technology; it uses an official native image configuration function environment to give full play to overall motherboard performance. The data is from an actual Yahboom laboratory test; Jetson Orin Nano SUPER 4GB and 8GB performance is similar, and Jetson Orin NX SUPER 8GB and 16GB performance is close.\u003c\/p\u003e\u003ch2\u003eWhat's Included\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003emyCobot280 7-DOF collaborative robotic arm (JetCobot)\u003c\/li\u003e\n\u003cli\u003eElectric gripper\u003c\/li\u003e\n\u003cli\u003eUSB camera\u003c\/li\u003e\n\u003cli\u003eJetson main control (Jetson Nano B01 \/ Jetson Orin Nano SUPER \/ Jetson Orin NX SUPER, depending on version)\u003c\/li\u003e\n\u003cli\u003eOLED screen (listed in the shipping list chart)\u003c\/li\u003e\n\u003cli\u003eAccessories (as listed in the shipping list chart)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS learning, kinematics, and motion planning (MoveIt \/ RViz)\u003c\/li\u003e\n\u003cli\u003eMachine vision and OpenCV-based interaction experiments\u003c\/li\u003e\n\u003cli\u003eAI interaction demos: color tracking, label recognition (Apriltag), gesture recognition, and model training workflows\u003c\/li\u003e\n\u003cli\u003eDesktop grasping, sorting, and basic coordinate-based pick-and-place tasks\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuals \/ Documentation\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eTutorials: \u003ca href=\"https:\/\/www.yahboom.net\/study\/JetCobot\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/www.yahboom.net\/study\/JetCobot\u003c\/a\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003eFor pre-sales selection help or after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email support@rcdrone.top.\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\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\u003eCompare JetCobot with other ROS master-control options to choose the right platform for your application.\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\u003eMultiple Yahboom arm platforms share a similar ROS workflow, while hardware and vision options vary by model.\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\u003eDepth-camera configurations support 3D vision tasks such as distance-aware tracking and interaction.\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 focuses on a 7-DOF UR-like structure with millimeter-level repeatability for coordinated motion tasks.\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 is a desktop 7-DOF visual collaborative robotic arm built around NVIDIA Jetson control boards.\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\u003eA complete software stack supports ROS control, MoveIt planning, RViz visualization, and OpenCV-based vision.\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\u003eSelect Jetson Nano B01, Orin Nano SUPER, or Orin NX SUPER based on the compute needed for your AI pipeline.\u003c\/p\u003e\n\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\u003eA clear Jetson comparison helps match CPU\/GPU and memory capacity to ROS and vision workloads.\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\u003ePerformance varies by Jetson controller, while the JetCobot feature set and course examples remain consistent.\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\u003eThe UR-like configuration provides a wide range of motion with a cleaner build for classroom and lab use.\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\u003eA 7-DOF layout improves flexibility for positioning, grasping, and path planning in tight workspaces.\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\u003eAn integrated USB camera enables visual picking and sorting workflows without complex external camera setups.\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\u003eBuilt-in demos cover color recognition, block sorting, tag-based stacking, and tracking-based interaction.\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\u003eUse deep-learning model training and MediaPipe gesture interaction to build more responsive pick-and-place tasks.\u003c\/p\u003e\n\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 and URDF models support simulation, trajectory planning, and collision checking before running on hardware.\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\u003eControl JetCobot through a browser-based Jupyter environment or a USB gamepad for quick testing and demos.\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\u003eInverse kinematics enables coordinate input for repeatable positioning and consistent end-effector orientation.\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\u003eSeven joints (J1–J7) provide extra flexibility for motion planning and coordinated grasping.\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 offers a 270mm maximum effective arm span (without gripper), with J1 base rotation of ±153° and ±0.5mm repeatability.\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 is built around the ROS Robot Operating System and lists compatibility with ROS2 Humble and 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\u003eMoveIt simulation support lets the JetCobot robotic arm be tested and controlled in a virtual environment before running on hardware.\u003c\/p\u003e\n\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\u003eThe JetCobot arm kit combines a gripper, USB HD camera, OLED screen, and a suction-cup base for stable desktop setups.\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\u003eThe JetCobot arm pairs a USB HD camera (480p, 30 fps, 110° field of view) with a compact electric gripper for vision-guided picking and placement tasks.\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\u003eThe JetCobot curriculum covers setup and assembly, ROS\/Ubuntu basics, SLAM mapping, AI vision with MediaPipe, and visual tracking and grasping exercises.\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\u003eJetCobot tutorial materials include organized download folders and course content such as AI visual basics and Mediapipe, with a study link at 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\u003eJetCobot learning resources include AI visual tracking and grabbing courses, MoveIt tutorials, ROS2 basics, and open Python source code.\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 with gripper dimensions are provided in millimeters to help plan mounting space and overall arm clearance.\u003c\/p\u003e\n\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 supports Python programming with ROS options for Jetson Nano B01 and Jetson Orin Nano\/NX, plus a fixed-focus 0.3MP camera (480P, 30fps, 110° wide angle).\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\u003eThe JetCobot kit includes the gripper, USB camera, chassis components, power adapter, and wiring, with optional Jetson Nano\/Orin accessories listed.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"With Jetson NANO 4GB","offer_id":53135867576544,"sku":"3000200636-1","price":1167.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NANO 4GB SUPER","offer_id":53135867609312,"sku":"3000200636-2","price":1443.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NANO 8GB SUPER","offer_id":53135867642080,"sku":"3000200636-3","price":1515.8,"currency_code":"USD","in_stock":true},{"title":"With Jetson Orin NX 8GB SUPER","offer_id":53135867674848,"sku":"3000200636-4","price":1899.8,"currency_code":"USD","in_stock":true},{"title":"With 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