{"product_id":"yahboom-muto-s2-hexapod","title":"Yahboom Muto S2 18DOF AI Vision Hexapod Robot for Raspberry Pi 5 \u0026 Jetson NANO, 2DOF PTZ FPV","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eThe Yahboom Muto S2 is an 18DOF hexapod robot designed for Raspberry Pi 5 or NVIDIA Jetson NANO as the main controller. It is a desktop-level bionic hexapod robot with an aluminum alloy body, 18 degrees of freedom, and built-in inverse kinematics algorithm control for simulated gaits. With Python3 programming and OpenCV image processing, it supports AI visual interaction functions such as color recognition, tracking\/following, face tracking, QR code recognition, and visual line patrol. Control methods include mobile phone APP, wireless handle control, and computer web page (Jupyter Lab) control, with real-time video transmission (FPV).\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI Vision Hexapod Robot\u003c\/strong\u003e: Inverse Kinematics Algorithm, Bionic Gait, 18DOF Joint, AI Visual Interaction.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e18DOF motion joints\u003c\/strong\u003e: Uses 18 high-performance servos and aluminum alloy structural parts to connect three joints on each leg.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e35KG smart serial bus servo system\u003c\/strong\u003e: 18PCS 35KG metal servos.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2D camera PTZ\u003c\/strong\u003e: 2DOF camera PTZ for vision applications.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eReal-time video transmission\u003c\/strong\u003e: Connect via local area network through the mobile phone APP to view HD video footage in real time.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePosture \u0026amp; movement adjustment\u003c\/strong\u003e: Supports free adjustment of walking speed and robot body height (Robot Height Adjustment \/ Robot Speed Adjustment; walking speed adjustment: slow\/fast).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTeaching mode\u003c\/strong\u003e: Manually control single-leg movement of the host machine; another slave machine performs the same action.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi 5 support note\u003c\/strong\u003e: “MUTO RS is equipped with a regulated power supply expansion board” adapted to Raspberry Pi 5, providing a stable \u003cstrong\u003e5.1V\/5A\u003c\/strong\u003e power supply; the \u003cstrong\u003e0.6A\u003c\/strong\u003e current limit increases USB port current output to \u003cstrong\u003e1.6A\u003c\/strong\u003e (to help avoid freezing\/restarting).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFor selection help and after-sales support, contact \u003ca href=\"https:\/\/rcdrone.top\/\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMuto S2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRobot type\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAI Vision Hexapod Robot\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\u003e18DOF (18 degrees of freedom)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBody material\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eServos\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e18PCS 35KG metal servos; 35KG smart serial bus servo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2MP 1080 HD camera; USB 1080P camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCamera gimbal\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2DOF camera PTZ\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBattery\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7.4V 9900mAh battery pack (9900mAh)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain controller compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 \/ Jetson NANO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProgramming\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePython3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVision stack\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eOpenCV image processing; AI visual interaction; deep learning\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eRemote control\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMobile APP, wireless handle, computer web page (Jupyter Lab); WiFi control\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eMain Control Comparison (as provided)\u003c\/h3\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMain control board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi 5 8G\u003c\/td\u003e\n\u003ctd\u003eJetson NANO 4GB SUB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eComputing power\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eTwice computing power of Raspberry Pi 4B\u003c\/td\u003e\n\u003ctd\u003e0.5 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eCortex-A76\u003c\/td\u003e\n\u003ctd\u003eQuad-Core Arm Cortex-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom VideoCore VII\u003c\/td\u003e\n\u003ctd\u003e128-Core NVIDIA Maxwell GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4GB\/8GB\u003c\/td\u003e\n\u003ctd\u003e4GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64GB TF card for free\u003c\/td\u003e\n\u003ctd\u003e64GB U disk for free\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e10W\u003c\/td\u003e\n\u003ctd\u003e5W | 10W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eAI image processing effect\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e★★★★\u003c\/td\u003e\n\u003ctd\u003e★★★\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003cp\u003eMuto S2 robot provides two main controllers, Raspberry Pi 5 and Jetson NANO 4GB SUB, and the usage methods are basically the same, both using the Ubuntu system. Different main controls only slightly affect the smoothness of the system. The course materials, product functions, and control software provided are consistent.\u003c\/p\u003e\u003ch2\u003eFunction List (Courses\/Examples)\u003c\/h2\u003e\u003ch3\u003eCamera PTZ\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e00. Color HSV value calibration\u003c\/li\u003e\n\u003cli\u003e01. Color recognition\u003c\/li\u003e\n\u003cli\u003e02. Color tracking\u003c\/li\u003e\n\u003cli\u003e03. Color following\u003c\/li\u003e\n\u003cli\u003e04. Color recognition action group\u003c\/li\u003e\n\u003cli\u003e05. Face Detection\u003c\/li\u003e\n\u003cli\u003e06. Face tracking\u003c\/li\u003e\n\u003cli\u003e07. Greet people\u003c\/li\u003e\n\u003cli\u003e08. QR code recognition\u003c\/li\u003e\n\u003cli\u003e09. QR code instructions\u003c\/li\u003e\n\u003cli\u003e10. Visual line following\u003c\/li\u003e\n\u003cli\u003e11. Motion learning\u003c\/li\u003e\n\u003cli\u003e12. Teach pendant synchronized action\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eMachine deep learning\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e01. KNN\u003c\/li\u003e\n\u003cli\u003e02. TensorFlow basic tutorial\u003c\/li\u003e\n\u003cli\u003e03. Basic use of PyTorch\u003c\/li\u003e\n\u003cli\u003e04. Yolov5 detects objects in real time\u003c\/li\u003e\n\u003cli\u003e05. Jetson-inference environment construction\u003c\/li\u003e\n\u003cli\u003e06. Object detection and action\u003c\/li\u003e\n\u003cli\u003e07. Body movement control robot\u003c\/li\u003e\n\u003cli\u003e08. Gesture controlled robot\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eJetson NANO course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. About JetsonNano system\u003c\/li\u003e\n\u003cli\u003e2. Network configuration and Jtop\u003c\/li\u003e\n\u003cli\u003e3. Swap space increased\u003c\/li\u003e\n\u003cli\u003e4. API usage of GPIO library\u003c\/li\u003e\n\u003cli\u003e5. Hardware library configuration\u003c\/li\u003e\n\u003cli\u003e6. Pin reading function\u003c\/li\u003e\n\u003cli\u003e7. Pin level output control\u003c\/li\u003e\n\u003cli\u003e8. Control LED\u003c\/li\u003e\n\u003cli\u003e9. Jetson Nano communicates with external device serial ports\u003c\/li\u003e\n\u003cli\u003e10. Jetson nano I2C communication\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRemote control course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Close APP control process\u003c\/li\u003e\n\u003cli\u003e2. Mobile APP remote control tutorial\u003c\/li\u003e\n\u003cli\u003e3. USB wireless handle remote control\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRobot basic course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Control buzzer\u003c\/li\u003e\n\u003cli\u003e2. Control PWM servo\u003c\/li\u003e\n\u003cli\u003e3. Control bus servo\u003c\/li\u003e\n\u003cli\u003e4. Robot forward and backward\u003c\/li\u003e\n\u003cli\u003e5. Robot move left and right\u003c\/li\u003e\n\u003cli\u003e6. Robot rotate left and right\u003c\/li\u003e\n\u003cli\u003e7. Control height\u003c\/li\u003e\n\u003cli\u003e8. Control head\u003c\/li\u003e\n\u003cli\u003e9. Action group performance\u003c\/li\u003e\n\u003cli\u003e10. Read data\u003c\/li\u003e\n\u003cli\u003e11. Host computer control\u003c\/li\u003e\n\u003cli\u003e12. Camera driver\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eRaspberry Pi course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Build Python environment\u003c\/li\u003e\n\u003cli\u003e2. Helloworld\u003c\/li\u003e\n\u003cli\u003e3. Pin output high and low levels\u003c\/li\u003e\n\u003cli\u003e4. Read pin high and low levels\u003c\/li\u003e\n\u003cli\u003e5. Output PWM\u003c\/li\u003e\n\u003cli\u003e6. Serial communication\u003c\/li\u003e\n\u003cli\u003e7. I2C communication\u003c\/li\u003e\n\u003cli\u003e8. Serial communication\u003c\/li\u003e\n\u003cli\u003e9. I2C communication\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eOpen Source CV course\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e1. Introduction to Open Source CV\u003c\/li\u003e\n\u003cli\u003e2. Image reading and display\u003c\/li\u003e\n\u003cli\u003e3. Picture writing\u003c\/li\u003e\n\u003cli\u003e4. Image Quality\u003c\/li\u003e\n\u003cli\u003e5. Pixel operations\u003c\/li\u003e\n\u003cli\u003e6. Image zoom\u003c\/li\u003e\n\u003cli\u003e7. Picture cut\u003c\/li\u003e\n\u003cli\u003e8. Picture pan\u003c\/li\u003e\n\u003cli\u003e9. Picture mirroring\u003c\/li\u003e\n\u003cli\u003e10. Affine transformation\u003c\/li\u003e\n\u003cli\u003e11. Picture rotation\u003c\/li\u003e\n\u003cli\u003e12. Perspective transformation\u003c\/li\u003e\n\u003cli\u003e13. Grayscale processing\u003c\/li\u003e\n\u003cli\u003e14. Binary image\u003c\/li\u003e\n\u003cli\u003e15. Edge green detection\u003c\/li\u003e\n\u003cli\u003e16. Line segment drawing\u003c\/li\u003e\n\u003cli\u003e17. Rectangular circle drawing\u003c\/li\u003e\n\u003cli\u003e18. Text and picture drawing\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/J63Pj1M8olc\" title=\"18DOF Muto S2 Hexapod Robot for Raspberry Pi and NVIDIA Jetson NANO\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eManuals \/ Tutorials\u003c\/h2\u003e\u003cp\u003eTutorial link (official): \u003ca href=\"http:\/\/www.yahboom.net\/study\/Muto-S2\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Muto-S2\u003c\/a\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Muto S2 18DOF AI Vision Hexapod Robot with 2DOF camera gimbal and aluminum alloy legs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA.jpg?v=1782069453\"\u003e\u003cp\u003eAn 18DOF bionic hexapod platform combines inverse-kinematics gait control with camera-based AI interaction.\u003c\/p\u003e\n\u003cimg alt=\"Desktop bionic hexapod robot on grass, compatible with Raspberry Pi 5 or Jetson Nano main controller\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_bbfd3396-d806-4bf3-a2e9-00905aa504f8.jpg?v=1782069459\"\u003e\u003cp\u003eBuilt to run on Raspberry Pi 5 or NVIDIA Jetson Nano for robotics learning, vision projects, and gait experiments.\u003c\/p\u003e\n\u003cimg alt=\"Feature overview icons for AI interaction, OpenCV vision, Python programming, WiFi control, FPV and 18DOF joints\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_e89ec342-f929-4fea-84f4-326ee1e97d90.jpg?v=1782069465\"\u003e\u003cp\u003eKey capabilities include OpenCV-based vision functions, Python programming, WiFi control, and FPV video streaming.\u003c\/p\u003e\n\u003cimg alt=\"Main controller comparison chart for Raspberry Pi 5 vs Jetson Nano and Raspberry Pi 5 power supply support note\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_71504fcc-00ce-4633-a807-174f03899f16.jpg?v=1782069472\"\u003e\u003cp\u003eChoose Raspberry Pi 5 or Jetson Nano as the main controller, with a power expansion board option designed for Pi 5 stability.\u003c\/p\u003e\n\u003cimg alt=\"Function list poster covering camera PTZ, deep learning, Jetson Nano course, Raspberry Pi course, and Open Source CV course\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_8b67262e-54a9-47df-9988-5ecfd7d2a24f.jpg?v=1782069478\"\u003e\u003cp\u003eA structured function list and learning path covers PTZ vision, deep learning basics, and step-by-step courses for both controllers.\u003c\/p\u003e\n\u003cimg alt=\"18DOF motion joints layout showing 18 servos across six legs on the Muto S2 hexapod chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_bb9b7d2f-cb0c-4a7f-a8d0-f4645448960a.jpg?v=1782069483\"\u003e\u003cp\u003eEighteen high-torque servos drive three joints per leg for stable, articulated hexapod movement.\u003c\/p\u003e\n\u003cimg alt=\"Inverse kinematics precision control graphic with foot position coordinates for stable hexapod gait planning\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_b236f380-41eb-4432-b8c8-730f6f445679.jpg?v=1782069490\"\u003e\u003cp\u003eBuilt-in inverse kinematics helps coordinate foot trajectories for smoother, more stable simulated gaits.\u003c\/p\u003e\n\u003cimg alt=\"Mobile app real-time video transmission with phone on controller and hexapod in the background on grass\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_883c0ac1-61e1-43d3-b043-575d294522d4.jpg?v=1782069495\"\u003e\u003cp\u003eReal-time FPV lets you drive and monitor the robot from a phone app over a local network connection.\u003c\/p\u003e\n\u003cimg alt=\"Bionic action mimicry banner describing app-based action groups and servo control for custom postures\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_04c6b563-d009-40b1-9bdc-f61d12cc490e.jpg?v=1782069501\"\u003e\u003cp\u003eSave action groups in the app to trigger preset moves or fine-tune individual joints for custom poses.\u003c\/p\u003e\n\u003cimg alt=\"Two-panel demo of hexapod movement and greeting gesture interaction with a person raising a hand\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_622727e4-21be-4e5a-ace5-9b986986b902.jpg?v=1782069506\"\u003e\u003cp\u003eInteractive motions support playful behaviors such as gesture-style greetings and movement routines.\u003c\/p\u003e\n\u003cimg alt=\"Obstacle\/impact reaction demos with hexapod responding to a foot near it and maintaining balance while moving\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_f321da4e-f6c7-4409-b5f1-67e6c0664d36.jpg?v=1782069512\"\u003e\u003cp\u003eReactive movement demos highlight balance adjustments during close-range obstacles and dynamic motion.\u003c\/p\u003e\n\u003cimg alt=\"Two-panel demo of hand interaction and following behavior with hexapod walking near a person’s legs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_55f50e97-f07a-4286-af17-c75a3a489a07.jpg?v=1782069518\"\u003e\u003cp\u003eVision-based behaviors can support tracking and following for hands-on AI interaction experiments.\u003c\/p\u003e\n\u003cimg alt=\"Movement command labels for hexapod actions: curl up and forward\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA.webp?v=1782069523\"\u003e\u003cp\u003eQuick commands enable common action states like curling up and moving forward.\u003c\/p\u003e\n\u003cimg alt=\"Posture and movement adjustment chart showing robot height adjustment and slow\/fast walking speed settings\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_fc4398b7-149c-4b36-8d9b-96b12584e612.jpg?v=1782069529\"\u003e\u003cp\u003eTune body height and walking speed to match different surfaces, demos, and indoor desktop testing.\u003c\/p\u003e\n\u003cimg alt=\"Teaching mode demo with two hexapod robots labeled host and slave mirroring a manually guided leg movement\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_8fccc896-38bf-4fad-9f3e-90d94a6c5f24.jpg?v=1782069535\"\u003e\u003cp\u003eTeaching mode allows one robot’s leg motion to be guided manually and mirrored by a second unit.\u003c\/p\u003e\n\u003cimg alt=\"AI visual interaction panel for color tracking, face tracking (face blurred), and QR code recognition demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_3df1933c-3fc2-4d2e-bdc9-0f8216970b79.jpg?v=1782069541\"\u003e\u003cp\u003eCamera-based AI features include color tracking, face tracking, and QR code recognition using OpenCV workflows.\u003c\/p\u003e\n\u003cimg alt=\"Advanced vision demos: visual tracking, object detection, pose estimation, and gesture control on the hexapod\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-S2-18DOF-AI-Vision-Hexapod-Robot.webp?v=1782070141\"\u003e\u003cp\u003eExplore deeper AI demos such as object detection, skeleton-based pose estimation, and gesture control routines.\u003c\/p\u003e\n\u003cimg alt=\"Python programming setup with laptop coding and the hexapod robot connected for development and control\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_4b41b2d6-7cff-4b8c-859d-856fa568fb07.jpg?v=1782069550\"\u003e\u003cp\u003eProgram behaviors in Python and iterate quickly from a laptop for motion control, vision processing, and automation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom MUTO S2 hexapod robot mobile app screens showing remote control, calibration, performance mode and data monitoring\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_ee4fbc9f-1e3d-4609-9628-c60682b86140.jpg?v=1782069556\"\u003e\u003cp\u003eThe MUTO S2 supports a cross-platform iOS\/Android app for remote control, robot calibration, performance modes, and data monitoring.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod control options showing PC web control screen and 2.4G\/USB wireless gamepad\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_93a9a426-e73c-42ee-b802-fd2e2d27efee.jpg?v=1782069563\"\u003e\u003cp\u003eMuto S2 supports PC control through a JupyterLab web page and 2.4G\/USB wireless gamepad control for robot movement.\u003c\/p\u003e\n\u003cimg alt=\"Course catalog for Yahboom Muto S2 AI vision hexapod robot, listing assembly, control basics, OpenCV and AI lessons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_06e51d58-aba2-44e6-968e-7d1ae10f6a1e.jpg?v=1782069569\"\u003e\u003cp\u003eThe Yahboom Muto S2 course catalog outlines guided modules for assembly, motion control, OpenCV vision features, and AI experiments.\u003c\/p\u003e\n\u003cimg alt=\"Laptop display showing Yahboom Muto S2 hexapod robot and downloadable AI vision and deep learning course folders\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_9bba8b40-c1a6-4469-9ccd-c68f592851da.jpg?v=1782069575\"\u003e\u003cp\u003eYahboom Muto S2 includes organized learning resources with AI vision and deep learning course files for step-by-step setup and coding.\u003c\/p\u003e\n\u003cimg alt=\"Exploded view of Yahboom Muto S2 AI vision hexapod robot with OLED screen, 2DOF camera PTZ, and USB hub board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_0eafbeb2-2746-4258-97a7-e30fd26ff259.jpg?v=1782069581\"\u003e\u003cp\u003eThe Muto S2 hexapod layout includes an OLED screen, 2DOF camera PTZ module, USB hub expansion board, and a large lithium battery mount.\u003c\/p\u003e\n\u003cimg alt=\"Intelligent serial bus servo for Yahboom Muto S2 hexapod, 0–270° range, 35kgf·cm torque, 6–8.4V\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_be760327-25ce-4217-9cea-f97520fcc950.jpg?v=1782069587\"\u003e\u003cp\u003eThe Muto S2 uses an intelligent serial bus servo with a 0–270° joint range and listed specs including 35kgf·cm torque and 6.0–8.4V operation.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod robot USB HD 1080P camera PTZ module with 2DOF servo and camera parameters table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_1714ff5c-c901-4028-8ce6-85a3ad6a4cb9.jpg?v=1782069593\"\u003e\u003cp\u003eThe USB HD 1080P camera PTZ uses a 2DOF servo for pan\/tilt control and connects via USB 2.0 with up to 80–120° field of view.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom 7.4V 9900mAh lithium battery pack for Muto S2 hexapod, with DC 4.0×1.7 charging port\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Yahboom-Muto-S2-18DOF-AI-Vision-Hexapod-Robot_6c29017c-dfb3-4829-9db7-7132779208f7.webp?v=1782070213\"\u003e\u003cp\u003eThe 7.4V 9900mAh lithium battery pack uses a DC 4.0×1.7 charging interface and about 15cm leads for easy connection.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Muto S2 hexapod robot dimension drawing with top and front views and labeled measurements in mm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_5902e49e-1300-4c89-992b-5211525816ad.jpg?v=1782069602\"\u003e\u003cp\u003eYahboom Muto S2 comes with a dimensioned layout showing top and front views with measurements in millimeters for planning placement and clearance.\u003c\/p\u003e\n\u003cimg alt=\"MUTO S2 robot parameters table comparing Jetson Nano 4GB USB and Raspberry Pi 5 versions, 18DOF, Python.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_11350351-4b10-4ba8-a83c-b20d6f80885d.jpg?v=1782069607\"\u003e\u003cp\u003eMUTO S2 is available with a Jetson Nano 4GB USB or Raspberry Pi 5 main control board, both supporting Python, 18DOF joints, and about 3.7 hours of battery life.\u003c\/p\u003e\n\u003cimg alt=\"Packing list for Yahboom Muto S2 hexapod kit with robot chassis, camera PTZ, OLED parts, USB hub board, cables and tools\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/18DOF-Muto-S2-Hexapod-Robot-for-Raspberry-Pi-5-and-NVIDIA_a9f30d4a-4d41-4abf-9891-71fb110bc8b6.jpg?v=1782069614\"\u003e\u003cp\u003eThe Muto S2 hexapod kit includes the robot chassis, PTZ camera module, OLED components, USB hub expansion board, battery pack, charger, cables, and basic tools, with Raspberry Pi or Jetson Nano accessories listed as add‑\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ RPi 5 8G","offer_id":53126133350624,"sku":"6000200604_NoPi-1","price":798.93,"currency_code":"USD","in_stock":true},{"title":"Without \/ Jetson NANO SUB","offer_id":53126133383392,"sku":"6000200604_NoPi-2","price":834.03,"currency_code":"USD","in_stock":true},{"title":"With \/ RPi 5 8G","offer_id":53126133416160,"sku":"6000200604_NoPi-3","price":1185.03,"currency_code":"USD","in_stock":true},{"title":"With \/ Jetson NANO 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