{"product_id":"hiwonder-hiwonder-nexarm-open-source-ros-robotic-arm-vla-embodied-ai-kit-with-nvidia-raspberry-pi-esp32-dual-controller-design-multimodal-large-ai-models-openclaw-without-raspberry-pi-kit","title":"Hiwonder NexArm Open-Source ROS Robotic Arm VLA Embodied AI Kit with NVIDIA\/Raspberry Pi \u0026amp; ESP32 Dual-Controller Design, Multimodal Large AI Models \u0026amp; OpenClaw (Without Raspberry Pi Kit)","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【Embodied AI ROS 2 Robotic Arm】ROS 2-powered \u0026amp; Jetson\/Raspberry Pi 5 compatible. Packed with a 3D depth camera, AI voice box, and 65 kg·cm magnetic encoder servos to effortlessly deliver motion-sensing interaction, voice control, and intelligent grasping.\r\n\u003c\/li\u003e\r\n\u003cli\u003e【Large AI Models \u0026amp; OpenClaw Agent】Supports online\/local multimodal AI model deployment. Deep OpenClaw Agent integration enables remote voice\/text interaction, autonomous task decomposition, intelligent decision-making, and complex task execution.\r\n\u003c\/li\u003e\r\n\u003cli\u003e【Integrated Algorithm Framework】Integrates YOLO26, OpenCV, MediaPipe, Gmapping, inverse kinematics, and other algorithms and tools, providing a highly configurable and extensible development environment.\r\n\u003c\/li\u003e\r\n\u003cli\u003e【Visual PC Software】Features professional PC software supporting one-click scene switching and dual-stream real-time video feedback. Easily customize scenes and hardware parameters for smooth, efficient operation.\r\n\u003c\/li\u003e\r\n\u003cli\u003e【Out-of-the-Box Ready \u0026amp; Full-Scale Curriculum】Pre-loaded with Ubuntu 22.04 alongside a complete dev stack of Python, TensorFlow, PyTorch, and ROS. Includes an end-to-end curriculum spanning computer vision, deep learning, NLP, inverse kinematics, large AI models, and VLA imitation learning.\r\n\u003c\/li\u003e\r\n\u003c\/ul\u003e\r\n\r\n\u003cp\u003e\u003c\/p\u003e\n\u003cp\u003eNote: Aside from the controller versions available on our website, if you are looking for other Raspberry Pi or Jetson controller versions, please contact us directly to make a purchase.\u003c\/p\u003e\r\n\u003cp\u003eProduct Description:\u003c\/p\u003e\r\n\u003cp\u003eHiwonder's NexArm ROS Robotic Arm is an all-in-one experimental platform purpose-built for advanced ROS education and embodied AI research. Featuring an advanced modular architecture, it natively fuses multimodal large models, OpenClaw agents, ACT, VLA, machine vision, and inverse kinematics into a complete validation loop spanning foundational concepts to high-level embodied algorithms.\u003c\/p\u003e\r\n\u003cp\u003eIts NVIDIA\/Raspberry Pi + ESP32 dual-controller setup powers a high-performance hardware suite consisting of magnetic encoder bus servos, a parallel-rail gripper, a 3D depth camera, and an AI voice module. Deep integration of multimodal AI and OpenClaw agents drives precise 3D depth perception and multi-dimensional sorting. It fully satisfies full-stack development demands, spanning environmental sensing to real-world physical manipulation.\u003c\/p\u003e\r\n\u003cp\u003e1) Large AI Model \u0026amp; OpenClaw\u003c\/p\u003e\r\n\u003cp\u003eThe expandable NexArm ROS robotic arm seamlessly integrates with advanced peripherals, including electric sliding rails and the suspended chassis. The modular metal sandbox baseplate enables highly efficient replication of complex physical interaction scenarios like smart warehousing.\u003c\/p\u003e\r\n\u003cp\u003e2) Versatile Controller Compatibility\u003c\/p\u003e\r\n\u003cp\u003eThe NexArm ROS robotic arm controller assembly supports Raspberry Pi and high-performance Jetson controllers. Equipped with a multi-functional expansion board and rich ports, it seamlessly accelerates development and hardware expansion.\u003c\/p\u003e\r\n\u003cp\u003e3) 3D Spatial Recognition \u0026amp; Grasping\u003c\/p\u003e\r\n\u003cp\u003eAn integrated 3D structured light depth camera fuses RGB and depth data, utilizing advanced vision algorithms to power object tracking, detection, and facial recognition for precise 3D spatial perception and grasping.\u003c\/p\u003e\r\n\u003cp\u003e4) Inverse Kinematics \u0026amp; Eye-Hand Coordination\u003c\/p\u003e\r\n\u003cp\u003ePowered by an in-house, high-performance inverse kinematics algorithm, NexArm reaches any coordinate within its workspace, driving advanced AI projects like grasping, sorting, and transporting.\u003c\/p\u003e\r\n\u003cp\u003e5) Dual-Output-Shaft Magnetic Encoder Bus Servo\u003c\/p\u003e\r\n\u003cp\u003e A dual-shaft design with the main shaft for power output and the secondary shaft for support, delivering greater operating stability.\u003c\/p\u003e\r\n\u003cp\u003e6) Parallel-Rail Gripper\u003c\/p\u003e\r\n\u003cp\u003eSilicone gripper pads and stainless-steel transmission components ensure a secure grip and improved durability.\u003c\/p\u003e\r\n\u003cp\u003e7) Aerospace-Grade Industrial Bearing Base\u003c\/p\u003e\r\n\u003cp\u003e An industrial bearing base supports 270° joint rotation and positioning, while the aerospace-grade structure reduces Z-axis wobble.\u003c\/p\u003e\r\n\u003cp\u003e8) OLED Display Design\u003c\/p\u003e\r\n\u003cp\u003eEquipped with an OLED screen that displays real-time data of this open-source robotic arm.\u003c\/p\u003e\r\n\u003cp\u003e1. Multimodal Large Al Models for Embodied Intelligence\u003c\/p\u003e\r\n\u003cp\u003e1) Three Large Al Models Deployed\u003c\/p\u003e\r\n\u003cp\u003e① Large Language Model - Acts as the brain of the robot, enabling it to understand commands and deliver intelligent responses.\u003c\/p\u003e\r\n\u003cp\u003e② Large Speech Model - Gives the robot ears and a voice,enabling voice recognition and natural speech interaction.\u003c\/p\u003e\r\n\u003cp\u003e③ Vision Language Model - Serves as the eyes of the robot, enabling accurate object recognition and detailed visual understanding.\u003c\/p\u003e\r\n\u003cp\u003e2) Built-In OpenClaw Al Agent\u003c\/p\u003e\r\n\u003cp\u003e① Cross-Platform Collaboration\u003c\/p\u003e\r\n\u003cp\u003eBreaking single-terminal limits, the system integrates with Telegram and supports remote PC.app, and local voice multimodal interactions.\u003c\/p\u003e\r\n\u003cp\u003e② Task Decomposition \u0026amp; Scheduling\u003c\/p\u003e\r\n\u003cp\u003eHigh-level commands decompose into atomic actions like navigation, recognition, and reporting, invoking low-level interfaces for an end-to-end closed loop.\u003c\/p\u003e\r\n\u003cp\u003e③ Memory \u0026amp; Proactive Feedback\u003c\/p\u003e\r\n\u003cp\u003eRetaining past commands and environmental states, the robot autonomously handles exceptions, proactively reporting and confirming execution strategies for a highly intuitive interaction experience.\u003c\/p\u003e\r\n\u003cp\u003e2. Multimodal AI Model Creative Applications\u003c\/p\u003e\r\n\u003cp\u003e1) Smart Waste Sorting\u003c\/p\u003e\r\n\u003cp\u003eThe NexArm ROS robotic arm recognizes diverse sorting cards within its field of view and classifies them on command.\u003c\/p\u003e\r\n\u003cp\u003e2) Visual Object Tracking\u003c\/p\u003e\r\n\u003cp\u003ePowered by large vision models, NexArm ROS Instantly locks onto and tracks target objects dynamically.\u003c\/p\u003e\r\n\u003cp\u003e3) Visual Scene Understanding\u003c\/p\u003e\r\n\u003cp\u003eNexArm ROS percelves environmental features and object attributes within its workspace, delivering natural voice feedback.\u003c\/p\u003e\r\n\u003cp\u003e4) Smart Home Assistant\u003c\/p\u003e\r\n\u003cp\u003eTransmitting real-time camera feeds to large vision models, NexArm ROS generates coordinated multimodal responses In speech and actlon.\u003c\/p\u003e\r\n\u003cp\u003e5) Intelligent Transport\u003c\/p\u003e\r\n\u003cp\u003eDynamically adjusting its pose in real time, NexArm ROS robotic arm precisely grasps and transports target objects based on Interactive Instructlons.\u003c\/p\u003e\r\n\u003cp\u003e3. Large AI Model × OpenClaw Automated Intelligent Sorting\u003c\/p\u003e\r\n\u003cp\u003e1) Large Al Model x OpenClaw x Intelligent Information Aggregation\u003c\/p\u003e\r\n\u003cp\u003eNexArm ROS robotic arm captures visual metrics, analyzes real-time data, and automatically aggregates environmental detalls Into Intuitive decislon reports-seamlessly closing the loop fromon-siteperception to data delivery.\u003c\/p\u003e\r\n\u003cp\u003e2) Large Al Model x OpenClaw x Proactive Response\u003c\/p\u003e\r\n\u003cp\u003eWhen encountering operational anomalies or vague commands, NexArm ROS actively audits the scene, proposes optimal alternatives, and requests authorization to ensure uninterrupted workflows.\u003c\/p\u003e\r\n\u003cp\u003e3) Large Al Model x OpenClaw x Autonomous Task Deconstruction\u003c\/p\u003e\r\n\u003cp\u003eNexArm ROS deconstructs remote commands into precise action primitive sequences, directly translating vague semantics into deterministic OpenClaw execution.\u003c\/p\u003e\r\n\u003cp\u003e4) Large Al Model x OpenClaw x 3D Grasping \u0026amp; Scene Understanding\u003c\/p\u003e\r\n\u003cp\u003eLarge-model-driven human cognition empowers NexArm ROs to deeply comprehend unstructured 3D environments, flexibly mapping semantic intent to precise 3D grasping and sorting actions to close the embodied Al loop.\u003c\/p\u003e\r\n\u003cp\u003e5) Large Al Model x OpenClaw x Dynamic Low-Level Invocation\u003c\/p\u003e\r\n\u003cp\u003eEvaluating environment and object states in real time, NexArm ROS autonomously invokes high-performance IK algorithms and low-level execution routines for grasping and transporting to maximize complex task efficiency.\u003c\/p\u003e\r\n\u003cp\u003e6) Large Al Model x OpenClaw x Spatial Vector Memory\u003c\/p\u003e\r\n\u003cp\u003eLeveraging interaction-driven environmental memory. NexArm ROS correlates historical targets with current scenes to automatically reuse learned policies, achieving an efficient cognitive-action loop.\u003c\/p\u003e\r\n\u003cp\u003e4. Versatile Scenario Expansion\u003c\/p\u003e\r\n\u003cp\u003eSupports mobile suspended chassis and electric sliding rails to precisely simulate smart warehousing, logistics sorting, and automated production lines for rapid Embodied AI algorithm validation.\u003c\/p\u003e\r\n\u003cp\u003e1) Standard Sorting Sandbox\u003c\/p\u003e\r\n\u003cp\u003eEquipped with sorting trays and color blocks to handle complex tasks like visual color recognition, multi-colored blocks classification, transporting, and intelligent sorting.\u003c\/p\u003e\r\n\u003cp\u003e2) Advanced Sorting Sandbox\u003c\/p\u003e\r\n\u003cp\u003eAdds physical props like miniature sorting bins to expand capabilities into automated waste classification, sorting and transporting of multi-colored blocks, and intelligent sorting control.\u003c\/p\u003e\r\n\u003cp\u003e3) Sliding Rail Warehouse Sandbox\u003c\/p\u003e\r\n\u003cp\u003eIntegrates a high-precision electric linear sliding rail and multi-tier shelving. It supports multi-workstation transport, automated inventory sorting, and inbound control to fully replicate industrial warehousing and logistics workflows.\u003c\/p\u003e\r\n\u003cp\u003e4) Suspended Mobile Chassis\u003c\/p\u003e\r\n\u003cp\u003eNexArm ROS is integrated with a suspended tank or suspended omnidirectional Mecanum wheel chassis. Beyond supporting remote mobile control via wireless controller or app, the setup drives efficient mobile tracking and autonomous line following.\u003c\/p\u003e\r\n\u003cp\u003e5. ROS 2 Core Features\u003c\/p\u003e\r\n\u003cp\u003e1) 3D Depth Camera \u0026amp; 3D Depth Perception\u003c\/p\u003e\r\n\u003cp\u003eEquipped with a 3D structured light depth camera, the NexArm ROs robotic arm precisely calculates real-time 3D\u003c\/p\u003e\r\n\u003cp\u003espatial data, including distance, shape, and volume. Native compatibility with popular algorithm frameworks like\u003c\/p\u003e\r\n\u003cp\u003eOpenCV, KCF,YOLO26, and MediaPipe delivers a rich,highly efficient machine vision development.\u003c\/p\u003e\r\n\u003cp\u003e3D Depth Point Cloud Images\u003c\/p\u003e\r\n\u003cp\u003eDistance Measurement\u003c\/p\u003e\r\n\u003cp\u003eHeight Measurement\u003c\/p\u003e\r\n\u003cp\u003eVolume Measurement\u003c\/p\u003e\r\n\u003cp\u003eKCF Object Tracking\u003c\/p\u003e\r\n\u003cp\u003e3D Object Detection\u003c\/p\u003e\r\n\u003cp\u003eYOLO26 Object Detection\u003c\/p\u003e\r\n\u003cp\u003eOpenCV Color Recognition\u003c\/p\u003e\r\n\u003cp\u003eOpenCV Tag Recognition\u003c\/p\u003e\r\n\u003cp\u003eMediaPipe 3D Face Detection MediaPipe Gesture Recognition\u003c\/p\u003e\r\n\u003cp\u003eMediaPipe Pose Estimation\u003c\/p\u003e\r\n\u003cp\u003e2) Deep Vision \u0026amp; Hand-Eye Coordination\u003c\/p\u003e\r\n\u003cp\u003eBy fusing RGB and depth data, NexArm ROS accurately senses color and point cloud information, enriching the geometric representation of spatial environments. Powered by advanced inverse kinematics, NexArm ROS seamlessly executes complex Al tasks, including arbitrary 3D grasping, sorting, and transporting.\u003c\/p\u003e\r\n\u003cp\u003eArbitrary 3D Grasping\u003c\/p\u003e\r\n\u003cp\u003eVoice-Controlled\u003c\/p\u003e\r\n\u003cp\u003eColor Sorting \u0026amp; Tag Sorting\u003c\/p\u003e\r\n\u003cp\u003eSmart Palletizing\u003c\/p\u003e\r\n\u003cp\u003eItem Sorting\u003c\/p\u003e\r\n\u003cp\u003eWaste Sorting\u003c\/p\u003e\r\n\u003cp\u003eFace Tracking\u003c\/p\u003e\r\n\u003cp\u003eMotion-Sensing Control\u003c\/p\u003e\r\n\u003cp\u003e3) Advanced Inverse Kinematics Algorithms\u003c\/p\u003e\r\n\u003cp\u003eWith an advanced In-house IK algorlthm, NexArm ROS's end-effector seamlessly accesses any coordinate within its workspace. Easily customize adaptive grasping, linear motion, and advanced path planning via programming for a pure, distractlon-free development environment. (Official IK function APls included)\u003c\/p\u003e\r\n\u003cp\u003eHand-Eye Coordination\u003c\/p\u003e\r\n\u003cp\u003eAdaptive Joint Adjustment\u003c\/p\u003e\r\n\u003cp\u003eMulti-Dimensional\u003c\/p\u003e\r\n\u003cp\u003ePath Planning\u003c\/p\u003e\r\n\u003cp\u003eMotion Control\u003c\/p\u003e\r\n\u003cp\u003eLinear Motion\u003c\/p\u003e\r\n\u003cp\u003ePC Software Coordinate Control\u003c\/p\u003e\r\n\u003cp\u003eCode-Based Coordinate Control\u003c\/p\u003e\r\n\u003cp\u003eProvided Function APIs\u003c\/p\u003e\r\n\u003cp\u003e4) Gazebo Simulation \u0026amp; Movelt 2 Motion Planning\u003c\/p\u003e\r\n\u003cp\u003eBuilt on the ROs 2 framework, NexArm ROs provides robust Gazebo and Movelt simulation support for virtual motion control testing and algorithm validation, bypassing physical limitations to dramatically lower development overhead.\u003c\/p\u003e\r\n\u003cp\u003eURDF Kinematic Design\u003c\/p\u003e\r\n\u003cp\u003eMoveit Simulation Control\u003c\/p\u003e\r\n\u003cp\u003eMovelt Motion Planning\u003c\/p\u003e\r\n\u003cp\u003eMoveit Scene Design\u003c\/p\u003e\r\n\u003cp\u003eCollision Detection\u003c\/p\u003e\r\n\u003cp\u003eVirtual Linkage\u003c\/p\u003e\r\n\u003cp\u003eSim-To-Real Linkage\u003c\/p\u003e\r\n\u003cp\u003eComplex Scene Building\u003c\/p\u003e\r\n\u003cp\u003e6. Professional Host PC Software\u003c\/p\u003e\r\n\u003cp\u003eDesigned specifically for NexArm, this all-in-one platform handles coordinate control and motion trajectory planning. Supports precise PID and acceleration tuning,enables real-time monitoring of arm operation, and integrates quick access to peripheral coordination and Al features, balancing beginner-friendly operation with professional development needs.\u003c\/p\u003e\r\n\u003cp\u003e1) Multiple Operation Modes with Integrated Control\u003c\/p\u003e\r\n\u003cp\u003e① Action Group Mode\u003c\/p\u003e\r\n\u003cp\u003eEdit joint poses frame by frame with intuitive sliders or numeric input, making it easy to create smooth motion sequences\u003c\/p\u003e\r\n\u003cp\u003e② Coordinate Control Mode\u003c\/p\u003e\r\n\u003cp\u003ePowered by inverse kinematics, this mode allows direct input of 3D coordinates and pose parameters to drive the end effector precisely to the target position.\u003c\/p\u003e\r\n\u003cp\u003e③ 3D Control Mode\u003c\/p\u003e\r\n\u003cp\u003eA 3D visualization interface mirrors the real arm in real time, making spatial pose clear at a glance and motion planning more intuitive.\u003c\/p\u003e\r\n\u003cp\u003e④ Robotic Arm System Settings\u003c\/p\u003e\r\n\u003cp\u003eCustomize app \u0026amp; wireless controller parameters, fine-tune servo settings. speed, and acceleration to match different control preferences \u0026amp; applications.\u003c\/p\u003e\r\n\u003cp\u003e2) Precision Joint Tuning with System-Wide Monitoring\u003c\/p\u003e\r\n\u003cp\u003e① Multiple Safety Protections\u003c\/p\u003e\r\n\u003cp\u003eProfessional PC software allows customizable safety parameters, including overload limits and torque thresholds, helping ensure stable and reliable operation.\u003c\/p\u003e\r\n\u003cp\u003e② PID Tuning Support\u003c\/p\u003e\r\n\u003cp\u003eServo PID parameters can be read and adjusted flexibly to improve motion stability and response speed for better overall performance. \u003c\/p\u003e\r\n\u003cp\u003e③ Adjustable Speed and Torque\u003c\/p\u003e\r\n\u003cp\u003eServo speed. torque, and other parameters can be configured as needed to maximize performance for high-precision control tasks.\u003c\/p\u003e\r\n\u003cp\u003e④ Real-Time Parameter Feedback\u003c\/p\u003e\r\n\u003cp\u003eVoltage, position, angle, speed, torque thresholds, and other parameters are sampled at high frequency. Feedback in real time, and displayed visually throughout operation.\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-2\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eWhat's Included\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-2\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n\u003cp\u003e1* NexArm ROS robotic arm (controller optional)\u003c\/p\u003e\r\n\u003cp\u003e1* 3D depth camera + mounting bracket\u003c\/p\u003e\r\n\u003cp\u003e1* WonderEcho Pro Al voice interaction box\u003c\/p\u003e\r\n\u003cp\u003e1* 12 V 5 A power adapter (DC 5.5×2.5 mm)\u003c\/p\u003e\r\n\u003cp\u003e1* G clamp\u003c\/p\u003e\r\n\u003cp\u003e1* PS3 wireless controller\u003c\/p\u003e\r\n\u003cp\u003e1* Card reader\u003c\/p\u003e\r\n\u003cp\u003e1* Cylindrical block (030×45 mm)+ rectangular block (30×30x60mm)\u003c\/p\u003e\r\n\u003cp\u003e4* Color cubes (30×30 mm)\u003c\/p\u003e\r\n\u003cp\u003e4* Wooden cube (40×40mm)\u003c\/p\u003e\r\n\u003cp\u003e1* Waste + tag cards set (40×40mm)\u003c\/p\u003e\r\n\u003cp\u003e1* Map (430×430 mm)\u003c\/p\u003e\r\n\u003cp\u003e1* Type-C data cable (1000 mm)\u003c\/p\u003e\r\n\u003cp\u003e1* Module cables + servo cables (200 mm)\u003c\/p\u003e\r\n\u003cp\u003e1* Screw pack\u003c\/p\u003e\r\n\u003cp\u003e1* Leaflet\u003c\/p\u003e\r\n\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-3\"\u003e\r\n\u003cspan class=\"card__title heading h3\"\u003eDimensions\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-3\" class=\"card__collapsible\"\u003e\r\n\u003cdiv class=\"card__collapsible-content\"\u003e\r\n\u003cdiv class=\"rte text--pull\"\u003e\r\n245 × 131 × 617 mm\r\n\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 model: NexArm ROS Embodied AI Open-Source Robotic Arm\u003c\/p\u003e\r\n\u003cp\u003eDimensions: 245 × 131 × 617 mm\u003c\/p\u003e\r\n\u003cp\u003eWeight: 1.3 kg\u003c\/p\u003e\r\n\u003cp\u003eMaterial: Metal brackets\u003c\/p\u003e\r\n\u003cp\u003eESP32 controller: ESP-WROOM main chip\u003c\/p\u003e\r\n\u003cp\u003eROS controller: Raspberry Pi 5 \/ Jetson Nano \/ Jetson Orin Nano \/ Jetson Orin NX Control methods | ROS topics\/nodes, Python programming, app control, PC software control\u003c\/p\u003e\r\n\u003cp\u003eCamera: Depth camera\u003c\/p\u003e\r\n\u003cp\u003ePower supply: 12 V 5 A DC power adapter\u003c\/p\u003e\r\n\u003cp\u003eOperating system: Ubuntu 22.04 + ROS 2 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