Hiwonder NexArm ROS Robotic Arm VLA Embodied AI Suspended Mobile Chassis Open-Source Kit with NVIDIA/Raspberry Pi & ESP32 Dual-Controller Design, Multimodal Large AI Models & OpenClaw

Product Description NexArm ROS Suspended Mobile Chassis Kit 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. Developed natively for ROS, the NexArm ROS Mobile Chassis Kit delivers dynamic mobility with modes like smart remote control, target tracking, and line following. It features flexible compatibility with various suspension options—including both the Mecanum chassis and tank chassis—to conquer any terrain and application. Powered by advanced AI vision, this kit serves as an efficient, rock-solid mobile foundation for robotics education, competitive events, and R&D. Large AI Model & OpenClaw Fusing the OpenClaw agent with multimodal AI models across speech, language, and vision, the NexArm ROS robotic arm executes complex remote tasks like visual scene understanding, dynamic object tracking, and data aggregation and analysis. Versatile Controller Compatibility The 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. Mecanum Wheel Chassis The Mecanum Wheel is a classic type of omnidirectional wheel. By coordinating the speed and direction of individual wheels, it can generate thrust in any direction, enabling the chassis to achieve full planar motion. Tank Chassis Differential Speed Operation The tank chassis is composed of high-quality ant-slip tracks high-precision encoder motors, and a multi-wheel drive system, enabling NexArm to achieve precise forward movement and turning in any direction. Suspended Mobile Chassis Kit Target Tracking Recognizes targets within its field of view, instantly locking on to track their movement in real time. 3D Spatial Grasping By fusing RGB and depth data, NexArm enables advanced Al tasks,including arbitrary 3D grasping, sorting, and transporting. Visual Line Following Supports custom color selection, allowing the robot to recognize and autonomously follow colored lines. Waste Sorting Utilizing frameworks like YOLO26, NexArm efficiently recognizes complex images to deliver a vivid demonstration of smart waste sorting. App Remote Control Stream real-time FPV video feeds via the app for seamless remote control. Wireless Controller Operation Navigate the robot using a wireless controller, and program it to execute a variety of custom actions. Multiple Configuration Options Supports mobile suspended chassis and electric sliding rails to precisely simulate smart warehousing, logistics sorting, and automated production lines for rapid Embodied AI algorithm validation. NexArm ROS Robotic Arm Integrating multimodal large models, advanced machine vision, inverse kinematics, and natural interaction, it supports visual calibration, basic picking, and sorting operations. It offers a flexible development environment for ROS onboarding and rapid algorithm validation, covering full-pipeline embodied AI experimental needs. Sliding Rail Warehouse Sandbox Integrates 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. Sorting Sandbox Combining computer vision, localization, path planning, and precision grasp control, this sandbox accurately identifies features like color and shape to rapidly classify and sort cluttered items. It serves as an ideal hands-on platform for teaching automated sorting and smart logistics. Dual-Arm Conveyor Development Kit This highly integrated sandbox features a dual-arm 3D vision system, an AI edge computing controller, and motorized drive mechanisms. It is engineered for dual-arm collaborative experimentation and embodied AI algorithm validation. Setup Selection Guide Models for Embodied Intelligence Hardware Specifications Specification Parameters Dimensional Diagram Product model NexArm ROS Mobile Chassis Kit Weight 2.6kg Material Metal brackets ESP32 controller ESP-WROOM main chip ROS controller Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX Control Methods ROS topics/nodes, Python programming, app control, PC software control Camera Depth camera Power supply 12V 5A DC power adapter Operating system Ubuntu 22.04 + ROS 2 Humble Software iOS/Android app, Windows PC software Communication USB, Wi-Fi, Ethernet Programming tools Python, C, C++ Storage 64 GB TF card (Raspberry Pi 5 / Jetson Nano) 128 GB SSD (Orin Nano / Orin NX) Servo model HX-12H / HX-30HM / HX-65HM intelligent bus servos Included materials Comprehensive tutorials, ROS source code, ESP32 source code, system images, supporting softwares Packing List Specifications Product model NexArm ROS Mobile Chassis Kit Weight 2.6kg Material Metal brackets ESP32 controller ESP-WROOM main chip ROS controller Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano / Jetson Orin NX Control Methods ROS topics/nodes, Python programming, app control, PC software control Camera Depth camera Power supply 12V 5A DC power adapter Operating system Ubuntu 22.04 + ROS 2 Humble Software iOS/Android app, Windows PC software Communication USB, Wi-Fi, Ethernet Programming tools Python, C, C++ Storage 64 GB TF card (Raspberry Pi 5 / Jetson Nano) 128 GB SSD (Orin Nano / Orin NX) Servo model HX-12H / HX-30HM / HX-65HM intelligent bus servos Included materials Comprehensive tutorials, ROS source code, ESP32 source code, system images, supporting softwares