{"product_id":"xiaor-geek-xiaor-geek-ros-robot-car-with-4dof-robotic-arm-7-inch-display-support-slam-mapping-navigation","title":"XiaoR GEEK ROS Robot Car with 4DOF Robotic Arm \u0026amp; 7 inch Display Support SLAM Mapping\/ Navigation","description":"\u003cdiv class=\"product-block-list__item product-block-list__item--description details_product\"\u003e\u003cdiv class=\"card\"\u003e\n\u003cdiv class=\"card__header\"\u003e\r\n\u003ch2 class=\"card__title heading h3\"\u003eDescription\u003c\/h2\u003e\r\n\u003c\/div\u003e\n\u003cdiv class=\"card__section expandable-content desc-view-more\" id=\"main-description\"\u003e\n\u003cdiv class=\"rte text--pull\"\u003e\n\u003cul\u003e\r\n\u003cli\u003e★Including Jetson Nano motherboard*1 ★TF card*1 and battery pack*1 and so on.\r\n\u003c\/li\u003e\r\n\u003cli\u003ePre-installed with ROS Melodic, supporting mainstream libraries such as Moveit!, OpenCV, and TensorFlow.\r\n\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\r\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003e1. Powerful Main Processor \u0026amp; AI Computing Capability\u003c\/p\u003e\r\n\u003cp\u003e    Powered by NVIDIA Jetson Nano, supporting AI artificial intelligence operations, providing hardware foundation for edge computing and deep learning inference.\u003c\/p\u003e\r\n\u003cp\u003e    Pre-installed with ROS Melodic and Ubuntu 18.04 virtual machine environment, lowering the development barrier.\u003c\/p\u003e\r\n\u003cp\u003e2. High-Precision Environmental Perception \u0026amp; Localization\u003c\/p\u003e\r\n\u003cp\u003e    Equipped with Rplidar A1 360° LiDAR (12m ranging range, 8000 samples\/second), supporting multiple SLAM algorithms including gmapping \/ hector \/ cartographer, enabling real-time mapping,定点 navigation, and dynamic obstacle avoidance.\u003c\/p\u003e\r\n\u003cp\u003e3. Complete ROS-Based Robotic Control System\u003c\/p\u003e\r\n\u003cp\u003e    Deep integration with Moveit! motion planning framework, supporting forward\/inverse kinematics, collision detection, trajectory planning, and visual grasping.\u003c\/p\u003e\r\n\u003cp\u003e    Supports C++ \/ Python dual-language development, suitable for developers at different levels.\u003c\/p\u003e\r\n\u003cp\u003e4. Rich Human-Robot Interaction Methods\u003c\/p\u003e\r\n\u003cp\u003e    7-inch 1080P HD capacitive touchscreen with self-developed XR-ROS human-computer interaction system.\u003c\/p\u003e\r\n\u003cp\u003e    Supports mobile APP (Android) for real-time control, mapping, and navigation.\u003c\/p\u003e\r\n\u003cp\u003e    Supports gesture recognition (Google Mediapipe, recognizing 0–8 gestures), facial landmark detection, and AR augmented reality (ArUco marker localization).\u003c\/p\u003e\r\n\u003cp\u003e5. Modular Hardware \u0026amp; Scalability\u003c\/p\u003e\r\n\u003cp\u003e    Chassis powered by STM32F105 driver board, paired with DC brushed motors + 360-line AB encoders, enabling closed-loop PID speed control.\u003c\/p\u003e\r\n\u003cp\u003e    4-DOF robotic arm with a maximum grip weight of 50g and claw opening of 50mm, suitable for lightweight grasping education.\u003c\/p\u003e\r\n\u003cp\u003e    Large aluminum alloy body (310*240*360mm), stable structure, easy for secondary modification.\u003c\/p\u003e\r\n\u003cp\u003e6. Deep Integration of Vision \u0026amp; Algorithms\u003c\/p\u003e\r\n\u003cp\u003e    Built-in four edge detection algorithms: Canny, Sobel, Scharr, and Laplacian.\u003c\/p\u003e\r\n\u003cp\u003e    Supports color line patrol (with dynamically changeable patrol colors), visual grasping, face\/hand gesture interaction, covering mainstream computer vision application scenarios.\u003c\/p\u003e\r\n\u003c\/div\u003e\n\u003cbutton class=\"expandable-content__toggle\" aria-expanded=\"false\" aria-controls=\"main-description\"\u003e\u003cspan class=\"expandable-content__toggle-icon\"\u003e\u003c\/span\u003e\u003cspan class=\"expandable-content__toggle-text\" data-view-more=\"View more\" data-view-less=\"View less\"\u003eView more\u003c\/span\u003e\u003c\/button\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-5\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eMultimedia\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewbox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-5\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003cp\u003e\u003c\/p\u003e\n\u003cdiv id=\"iframe-video-1\" class=\"video-wrapper\"\u003e\u003c\/div\u003e\r\n\u003cp\u003e\u003c\/p\u003e\n\u003cdiv id=\"iframe-video-2\" class=\"video-wrapper\"\u003e\u003c\/div\u003e\r\n\u003cp\u003e\u003c\/p\u003e\n\u003cdiv id=\"iframe-video-3\" class=\"video-wrapper\"\u003e\u003c\/div\u003e\r\n\u003cscript\u003edocReady(function() {$('button[aria-controls=unique-tab-5]').one('click',function() {$(\"#iframe-video-1\").html('\u003ciframe frameborder=\"0\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/olzOfpPRdV0\" width=\"560\" title=\"XiaoR GEEK ROS Robot Car with 4DOF Robotic Arm \u0026amp; 7 inch Display Support SLAM Mapping\/ Navigation\" loading=\"lazy\"\u003e\u003c\/iframe\u003e');$(\"#iframe-video-2\").html('\u003ciframe frameborder=\"0\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/F70UtX-ngjU\" width=\"560\" title=\"XiaoR GEEK ROS Robot Car with 4DOF Robotic Arm \u0026amp; 7 inch Display Support SLAM Mapping\/ Navigation\" loading=\"lazy\"\u003e\u003c\/iframe\u003e');$(\"#iframe-video-3\").html('\u003ciframe frameborder=\"0\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/2lmIqaIGZ7w\" width=\"560\" title=\"XiaoR GEEK ROS Robot Car with 4DOF Robotic Arm \u0026amp; 7 inch Display Support SLAM Mapping\/ Navigation\" loading=\"lazy\"\u003e\u003c\/iframe\u003e');})});\u003c\/script\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\n\u003c\/div\u003e\u003cdiv class=\"card details_product\"\u003e\n\u003cbutton class=\"card__collapsible-button\" data-action=\"toggle-collapsible\" aria-expanded=\"false\" aria-controls=\"unique-tab-7\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eSpecifications\u003c\/span\u003e\r\n\u003cspan\u003e\r\n\u003csvg focusable=\"false\" class=\"icon icon--arrow-bottom\" viewbox=\"0 0 12 8\" role=\"presentation\"\u003e\r\n\u003cpath stroke=\"currentColor\" stroke-width=\"2\" d=\"M10 2L6 6 2 2\" fill=\"none\" stroke-linecap=\"square\"\u003e\u003c\/path\u003e\r\n\u003c\/svg\u003e\r\n\u003c\/span\u003e\r\n\u003c\/button\u003e\r\n\u003cdiv id=\"unique-tab-7\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003cp\u003eProduct name: JETSON NANO SLAM Lidar car\u003c\/p\u003e\r\n\u003cp\u003eProgramming software: Python \/ C++\u003c\/p\u003e\r\n\u003cp\u003eROS version: ROS Melodic\u003c\/p\u003e\r\n\u003cp\u003eIMU: Nine-axis gyroscope sensor\u003c\/p\u003e\r\n\u003cp\u003eVirtual machine: Ubuntu 18.04\u003c\/p\u003e\r\n\u003cp\u003eCamera: 1080P HD camera\u003c\/p\u003e\r\n\u003cp\u003eLidar: Rplidar A1\u003c\/p\u003e\r\n\u003cp\u003eBottom driver board: STM32F105\u003c\/p\u003e\r\n\u003cp\u003eNetwork card: intel8625\u003c\/p\u003e\r\n\u003cp\u003eDisplay screen: 7 inch 1080 HD touch screen (capacitive screen)\u003c\/p\u003e\r\n\u003cp\u003eBattery: 2200mAh Lithium battery with charging protection 12V\/8A\u003c\/p\u003e\r\n\u003cp\u003eElectric machine: DC brushed motor (with 360 wire AB code)\u003c\/p\u003e\r\n\u003cp\u003eMotor torque: Single 3.5N·m\u003c\/p\u003e\r\n\u003cp\u003eSize: 310*240*360mm\u003c\/p\u003e\r\n\u003cp\u003eArm length: 280mm\u003c\/p\u003e\r\n\u003cp\u003eMaximum grab weight: 50g\u003c\/p\u003e\r\n\u003cp\u003eMaximum claw opening and closing: 50mm\u003c\/p\u003e\r\n\u003cp\u003eWeight: About 3100g\u003c\/p\u003e\r\n\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\r\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"XiaoR GEEK","offers":[{"title":"Default Title","offer_id":47922436669591,"sku":"RM-XIAO-02Q","price":1947.93,"currency_code":"CAD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0533\/3997\/9927\/files\/pp_4517230.webp?v=1781725425","url":"https:\/\/ca.robotshop.com\/products\/xiaor-geek-xiaor-geek-ros-robot-car-with-4dof-robotic-arm-7-inch-display-support-slam-mapping-navigation","provider":"RobotShop Canada","version":"1.0","type":"link"}