{"product_id":"yahboom-transbot-se-robot","title":"Yahboom Transbot SE ROS Robot Car with 3DOF Arm \u0026 2MP PTZ, for Jetson Nano B01 \/ Raspberry Pi 5","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eTransbot SE is a ROS Robot Car (tracked crawler platform) designed for AI vision and robotics development with Jetson Nano B01 or Raspberry Pi 5. It uses an all-aluminum alloy body and integrates a 3DOF robotic arm plus a 2DOF camera PTZ for vision-based control, tracking, and robot arm simulation with MoveIt.\u003c\/p\u003e\u003cp\u003eNeed help choosing a version (with\/without Jetson Nano or Raspberry Pi) or preparing the software environment? Contact support via \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e or email \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTracked crawler chassis\u003c\/strong\u003e with differential track structure for off-road driving\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eAll-aluminum alloy body\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e3DOF robotic arm\u003c\/strong\u003e (intelligent serial bus servo) for gripping\/handling and simulation workflows\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e2DOF camera PTZ\u003c\/strong\u003e with \u003cstrong\u003e2MP camera\u003c\/strong\u003e (horizontal\/vertical rotation)\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003e520 encoder motors\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBuilt-in AI vision stack\u003c\/strong\u003e: OpenCV image processing, MediaPipe machine learning, YOLO object recognition, and an AI deep learning framework\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterconnection control\u003c\/strong\u003e options shown: Remote control APP, Jupyter web programming control, ROS system control, cross-platform interconnection control, multi-vehicle formation control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProgramming\u003c\/strong\u003e: Python programming and C++ programming are indicated\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAI Vision \u0026amp; Control Functions (Shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV image processing\u003c\/strong\u003e: Object Detection (recognize specific object categories), AR Vision (12 effects displayed through chessboard paper), AR QR code (generate and recognize AR QR codes), Face recognition (autonomous training and real-time recognition through real-time collection of facial images)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAI visual gameplay\u003c\/strong\u003e: Color Tracking, Object Tracking (camera PTZ tracks objects in real time), Robotic arm handling (QR code command-based handling), Autopilot (custom color selection; follows a recognized color path)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMoveIt robotic arm control\u003c\/strong\u003e: forward\/inverse kinematics algorithm, Cartesian path planning, collision detection, MoveIt simulation\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGesture recognition control (MediaPipe)\u003c\/strong\u003e: palm-controlled chassis movement, gesture-controlled robotic arm action groups, gesture-controlled chassis movement, arm attitude control (robotic arm imitates arm posture and palm open\/close)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMediaPipe development\u003c\/strong\u003e: gesture recognition, face recognition, 3D object recognition (examples shown: “SHOE”, “CHAIR”, “CUP”, “CAMERA”, etc.)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning examples shown\u003c\/strong\u003e: KNN recognition of handwritten digits; YOLO object recognition (custom object recognition via training custom datasets using the YOLOv5 algorithm)\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\u003eRobot type\u003c\/td\u003e\n\u003ctd\u003eTracked crawler ROS Robot Car\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompatible main boards (stated)\u003c\/td\u003e\n\u003ctd\u003eJetson Nano B01; Raspberry Pi 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis \/ body material\u003c\/td\u003e\n\u003ctd\u003eAluminum alloy (all-aluminum alloy body stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRobotic arm\u003c\/td\u003e\n\u003ctd\u003e3DOF robotic arm (intelligent serial bus servo)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera \u0026amp; pan\/tilt\u003c\/td\u003e\n\u003ctd\u003e2DOF camera PTZ; 2MP camera\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDrive motor\u003c\/td\u003e\n\u003ctd\u003e520 motor with encoder (520 encoder motors stated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBattery (shown)\u003c\/td\u003e\n\u003ctd\u003eLithium Battery: 12V 4400mAh\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCharger (shown)\u003c\/td\u003e\n\u003ctd\u003e12.6V 2A charger\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eVersion Options (Shown)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eJetson Nano version\u003c\/strong\u003e: With Jetson Nano 4GB (SUB version) \/ Without Jetson Nano\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRaspberry Pi version\u003c\/strong\u003e: With Raspberry Pi 5-4GB \/ Without Raspberry Pi (requires Raspberry Pi with 4GB or more of RAM)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eROS learning and robot motion control development\u003c\/li\u003e\n\u003cli\u003eComputer vision projects (OpenCV), gesture recognition (MediaPipe), and object recognition (YOLO)\u003c\/li\u003e\n\u003cli\u003eRobotic arm simulation and planning experiments with MoveIt (kinematics, Cartesian planning, collision detection)\u003c\/li\u003e\n\u003cli\u003eRemote control and web-based programming control demonstrations (APP control, Jupyter, ROS system control)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eTutorials \u0026amp; Learning Resources\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTutorial link:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Transbot-SE\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttp:\/\/www.yahboom.net\/study\/Transbot-SE\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/5pTV1WZ7jTo\" title=\"Transbot SE ROS Robot Car for Jetson NANO B01\/Raspberry Pi 5\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch3\u003eCourse Catalog (Shown)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntroduction of Transbot SE\u003c\/strong\u003e: About Transbot SE; Precautions for use and battery safety; First Trial\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFirst Trial\u003c\/strong\u003e: WiFi network configuration; APP Control; USB wireless handle control; Handle video control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHardware control course\u003c\/strong\u003e: About expansion board and update firmware; Close self-starting process; Install Transbot SE library; Control buzzer and button; Control PWM servo; Control bus servo; Control motor; Control robot movement\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eLinux operating system configuration\u003c\/strong\u003e: Virtual machine installation and use; Linux basics; Remote control; Multi-machine communication configuration; Static IP and hotspot mode; Web page real-time monitoring; Expansion tutorial; Write system images\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDocker use\u003c\/strong\u003e: Docker overview and docker installation; Common commands for docker image containers; Docker images deeply understand and publish images; Docker hardware interaction and data processing; Start the Dobot container\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS Basic course\u003c\/strong\u003e: ROS introduction; Project file structure; Common commands and tools; Publisher; Subscribers; Customize topic messages and use; Client; Server; Custom service messages and usage; TF release and monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpenCV courses\u003c\/strong\u003e: Getting started with Open Source CV; Open Source CV geometric transformation; Open Source CV image processing and drawing text line segments; Open Source CV image beautification; AR vision; AR QR code; ROS+Opencv foundation; ROS+Opencv application; MediaPipe development\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robot course\u003c\/strong\u003e: PID algorithm; Basic communication; Keyboard control; Handle control; Robot state estimation; Data calibration\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS simple camera course\u003c\/strong\u003e: HD camera calibration; HD camera color tracking; HD camera color tracking (chassis); HD camera object tracking; KCF target tracking; HD camera face tracking; HD camera robotic arm carrying; HD camera Autopilot\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robotic arm control tutorial\u003c\/strong\u003e: MoveIt configuration; MoveIt control the real machine; MoveIt moves randomly; MoveIt kinematics design; MoveIt cartesian path; MoveIt avoiding; MoveIt scene design; MoveIt trajectory planning\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS multi-robot control\u003c\/strong\u003e: Multi-robot control; Multi-robot queue performance; Multi-robot robot arm dancing\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eROS robotic arm MoveIt control course\u003c\/strong\u003e: MoveIt configuration; MoveIt control the real machine; MoveIt moves randomly; MoveIt kinematics design; MoveIt cartesian path; MoveIt avoiding; MoveIt scene design; MoveIt trajectory planning; Mediapie palm control car; Mediapipe gesture control robotic arm; Mediapipe gesture control car; Mediapipe arm attitude control\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDeep learning courses\u003c\/strong\u003e: KNN recognizes handwritten digits; Basic use of TensorFlow; Basic use of PyTorch (jetson); yolov5 model training (jetson); yolov5+tensorrt acceleration (jetson); yolov4-tiny\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDetails\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Yahboom Transbot SE ROS Robot tracked AI visual robot with 3DOF arm and camera PTZ on crawler chassis\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5.jpg?v=1782089204\"\u003e\u003cp\u003eTransbot SE is a tracked ROS robot platform built for AI vision projects, featuring an all‑metal body, a 3DOF arm, and a 2DOF camera gimbal.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE features overview: ROS, OpenCV, MediaPipe, YOLO, MoveIt arm simulation, and multiple control methods\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_c79abe35-e288-4f09-b854-09abc1436c64.jpg?v=1782089210\"\u003e\u003cp\u003eA full software stack supports OpenCV vision, MediaPipe gesture control, YOLO recognition, and MoveIt-based robotic arm simulation.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE crawler robot outdoors on grass, showing tracked chassis, robotic arm gripper, and dual antennas\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_0d6d957a-a082-4ab0-b0bd-63e74490950a.jpg?v=1782089217\"\u003e\u003cp\u003eThe tracked crawler chassis and differential drive are designed for stable movement on varied indoor and outdoor surfaces.\u003c\/p\u003e\n\u003cimg alt=\"Raspberry Pi 5 compatibility graphic for Transbot SE, showing Raspberry Pi 5 board and 4GB RAM box\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_1a644d85-ede6-475f-83a3-e788e9ab79b3.jpg?v=1782089223\"\u003e\u003cp\u003eCompatible with Raspberry Pi 5 for ROS development and smoother on-board vision processing.\u003c\/p\u003e\n\u003cimg alt=\"Version options for Transbot SE: Jetson Nano 4GB USB version or Raspberry Pi 5 4GB, with or without main board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_88fa5273-f295-4080-a194-6a0ef595228f.jpg?v=1782089228\"\u003e\u003cp\u003eChoose a kit with Jetson Nano or Raspberry Pi included, or a no-board version if you already have your own controller.\u003c\/p\u003e\n\u003cimg alt=\"OpenCV image processing functions: object detection, AR vision effects, AR QR code recognition, and face recognition demo\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_bbd6fb2f-a5f1-4d05-83e3-0748f35157e0.jpg?v=1782089235\"\u003e\u003cp\u003eBuilt-in OpenCV demos include object detection, AR effects with marker boards, and QR code generation\/recognition workflows.\u003c\/p\u003e\n\u003cimg alt=\"AI visual gameplay modes: color tracking, object tracking with camera PTZ, QR-code arm handling, and autopilot path following\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4f2dcf9a-7338-4f48-bc97-14bbe08362e8.jpg?v=1782089241\"\u003e\u003cp\u003eAI visual gameplay adds color tracking, PTZ-based object tracking, QR-command pick-and-place, and color-path autopilot.\u003c\/p\u003e\n\u003cimg alt=\"MoveIt robotic arm control screen for Transbot SE, highlighting kinematics design and collision detection in simulation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_59de8b52-1ad1-4580-a4bf-d7da466c7fd7.jpg?v=1782089246\"\u003e\u003cp\u003eMoveIt integration supports kinematics, Cartesian planning, and collision checking for robotic arm development and simulation.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe gesture recognition control for Transbot SE: palm-controlled driving and gesture-controlled robotic arm actions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_584025f2-4d3a-417d-9bb5-97da25ac18db.jpg?v=1782089252\"\u003e\u003cp\u003eMediaPipe gesture control enables palm-driven movement plus gesture-triggered robotic arm action groups and posture mirroring.\u003c\/p\u003e\n\u003cimg alt=\"MediaPipe development and deep learning examples: gesture and face recognition, 3D object recognition, KNN digits, YOLO\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_ee90df7d-beff-4e1e-b11b-97fe3df50bb5.jpg?v=1782089259\"\u003e\u003cp\u003eSample projects include gesture\/face recognition, 3D object labels, KNN digit recognition, and YOLO dataset training examples.\u003c\/p\u003e\n\u003cimg alt=\"Remote Control app interface alongside Transbot SE robot, showing AR and radar-style features in the mobile UI\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_b5c10f6b-c60f-4ff1-a3ea-b00d9dda5789.jpg?v=1782089264\"\u003e\u003cp\u003eUse the remote-control app for quick driving, camera features, and interactive AI modes without a full desktop setup.\u003c\/p\u003e\n\u003cimg alt=\"Interconnection control interfaces: remote control UI, autonomous driving UI, AR interface, smart patrol, Jupyter and ROS\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_72653f9e-a756-401d-92ad-7ae9eee0047e.jpg?v=1782089271\"\u003e\u003cp\u003eMultiple control paths are supported, including Jupyter web programming, ROS system control, and cross-platform interconnection.\u003c\/p\u003e\n\u003cimg alt=\"Course catalog list for Transbot SE covering ROS basics, camera\/vision topics, MoveIt arm control, and AI features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_15a355aa-f3f7-4fc5-b3bb-85557735040e.jpg?v=1782089277\"\u003e\u003cp\u003eA structured course catalog guides setup, ROS basics, vision features, and advanced control topics.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom online course webpage for Transbot SE with tutorial link displayed at top of the screen\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_fc2f8ec0-9ef6-44f5-af8b-de794dac74b1.jpg?v=1782089283\"\u003e\u003cp\u003eTutorial resources are available online to help build the software environment and start ROS and vision demos faster.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE structure callouts: 2DOF camera PTZ, 3DOF arm, aluminum body, ROS main board optional, encoder motors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_84089eb9-dd0e-4b39-895c-0d62260e707a.jpg?v=1782089289\"\u003e\u003cp\u003eHardware highlights include the 2DOF camera PTZ, 3DOF serial-bus arm, encoder motors, and an optional ROS main control board.\u003c\/p\u003e\n\u003cimg alt=\"Expansion board function distribution diagram with labeled ports for power, USB, serial, motor interfaces, and sensors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_57a01294-d2a4-4b3e-9dbb-c5670f0ca536.jpg?v=1782089295\"\u003e\u003cp\u003eThe expansion board breakout simplifies wiring for motors, serial devices, USB peripherals, and common sensors.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE product size parameters drawing with side and top views and dimensions in millimeters\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4d3be451-7a25-45c5-9018-59f29a9f1283.jpg?v=1782089301\"\u003e\u003cp\u003eDetailed dimensions help plan mounting space, lab layouts, and accessory integration.\u003c\/p\u003e\n\u003cimg alt=\"Transbot SE robot parameters table listing Raspberry Pi 5 and Jetson Nano configurations, power, OS, interfaces, and weight\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_f7459876-541f-4917-8ed4-d1ed50a0b99d.jpg?v=1782089307\"\u003e\u003cp\u003eA complete parameter table compares controller options and summarizes power, interfaces, operating system, and assembly details.\u003c\/p\u003e\n\u003cimg alt=\"3DOF robotic arm dimension diagram and serial bus servo specs for YB-SD15M and YB-S06 claw arm\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_a3fdcb68-1f18-41a6-9ec5-a44046f9f7fe.jpg?v=1782089313\"\u003e\u003cp\u003e3DOF robotic arm dimensions and key servo parameters (YB-SD15M joints and YB-S06 claw) help with layout planning and power selection.\u003c\/p\u003e\n\u003cimg alt=\"Dimension diagram and specs table for Yahboom Transbot SE 2DOF camera PTZ, showing sizes and 2MP 1080p USB 2.0 camera.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_4c4c130c-2296-4c21-a6ae-a38a7162e077.jpg?v=1782089319\"\u003e\u003cp\u003eThe 2DOF camera PTZ module includes a 2MP 1080p USB 2.0 camera and a compact mount with dimensions labeled in millimeters for easier integration.\u003c\/p\u003e\n\u003cimg alt=\"Two 520 encoder geared motors with parameter table listing 12V rated voltage, 1:56 reduction, 205±10 rpm, Hall encoder\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_52b1b45d-762a-41d3-a10d-2c5546e7fea1.jpg?v=1782089325\"\u003e\u003cp\u003eThe 520 encoder geared motor uses a 12V brushed design with a 1:56 reduction ratio and a Hall encoder (3.3–5V), rated at 205±10 rpm after deceleration.\u003c\/p\u003e\n\u003cimg alt=\"12V 4400mAh lithium battery pack with T-type plug, size 65×55×37 mm, for Yahboom Transbot SE ROS robot\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_c48b47bc-938b-431d-81e3-590b5784593b.jpg?v=1782089331\"\u003e\u003cp\u003eThe 12V 4400mAh lithium battery pack uses a T-type discharge plug and lists 8.8A rated and 10A max discharge current.\u003c\/p\u003e\n\u003cimg alt=\"Packing list diagram for Yahboom Transbot SE ROS robot kit with frame, tracks, wheels, arm, camera pan-tilt and electronics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_996700d8-25f4-4382-b71f-0cfb9001ff66.jpg?v=1782089337\"\u003e\u003cp\u003eThe Yahboom Transbot SE ROS robot kit includes the frame and top plate, tracks and wheels, a 3DOF robotic arm, 2DOF camera PTZ, motors, battery, charger, and cables.\u003c\/p\u003e\n\u003cimg alt=\"Parts package for Yahboom Transbot SE ROS robot: Jetson Nano or Raspberry Pi options with fan, antennas, TF card.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Transbot-SE-ROS-Robot-Car-for-Jetson-NANO-B01Raspberry-Pi-5_41f7d521-af01-4be5-bc61-fe183d1c16a7.jpg?v=1782089343\"\u003e\u003cp\u003eThe Transbot SE ROS robot parts packages include Jetson Nano or Raspberry Pi options with accessories like a cooling fan, antennas, and TF storage.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"Without \/ RPi 5-4GB","offer_id":53126119620832,"sku":"6000200632-1","price":332.09,"currency_code":"USD","in_stock":true},{"title":"Without \/ Jetson NANO SUB","offer_id":53126119653600,"sku":"6000200632-2","price":343.79,"currency_code":"USD","in_stock":true},{"title":"With \/ RPi 5-4GB","offer_id":53126119686368,"sku":"6000200632-3","price":624.59,"currency_code":"USD","in_stock":true},{"title":"With \/ Jetson NANO SUB","offer_id":53126119719136,"sku":"6000200632-4","price":601.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/Yahboom_Transbot_SE_1.png?v=1782096460","url":"https:\/\/rcdrone.top\/zh\/products\/yahboom-transbot-se-robot","provider":"RCDrone","version":"1.0","type":"link"}