Hiwonder NexArm ROS Robotic Arm VLA Embodied AI Sliding Rail Warehouse Sandbox Open-Source Kit with NVIDIA/Raspberry Pi & ESP32 Dual-Controller Design, Multimodal Large AI Models & OpenClaw

Product Description Hiwonder's Sliding Rail Warehouse Sandbox 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. Featuring high-precision electric sliding rails and multi-tier shelving, the kit accurately replicates industrial warehousing—covering multi-station transfer, automated sorting, and inventory control. Powered by DC geared motors and PVC belts, it offers smooth, plug-and-play transport with adjustable speed and direction for effortless automated logistics. Multi-DOF Robotic Arm Manipulation Featuring a multi-DOF joint design paired with trapezoidal acceleration/deceleration, NexArm ROS ensures smooth, jitter-free motion. It effortlessly executes multi-angle grasping, transport, and placement. 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. 3D Depth Vision & Hand-Eye Coordination Fusing RGB and depth data allows the NexArm ROS to perceive object colors and point cloud information. Leveraging inverse kinematics, it enables advanced AI projects including arbitrary 3D grasping, sorting, and transporting. Visual Control Hub Featuring dual-channel real-time video feeds, one-key scene switching, and custom hardware parameter configuration, this kit makes controlling and monitoring material transport and sorting intuitive and effortless—delivering an efficient interactive platform for smart warehousing training. Sliding Rail Warehouse Sandbox Integrating precision linear electric rails with multi-tier shelving, this setup supports multi-station material handling, automated warehouse sorting, and inbound inventory control—fully replicating industrial warehousing and logistics workflows. Sandbox Configurations 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. Suspended Mobile Chassis NexArm 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. 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 Sliding Rail Warehouse Sandbox Kit Weight 8.8kg 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 Specifications Product model NexArm ROS Sliding Rail Warehouse Sandbox Kit Weight 8.8kg 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