NexArm ROS on the suspended tank chassis and on the suspended mecanum wheel chassis

Robot arms

NexArm ROS Suspended Mobile Chassis Kit

NexArm ROS on a suspended mecanum or tank chassis, for mobile tracking, line following and 3D grasping.

Raspberry Pi
NVIDIA Jetson
Suggested for university

The NexArm ROS Suspended Mobile Chassis Kit mounts the NexArm ROS robot arm on a suspended chassis, with a choice of mecanum wheels or tank tracks. The robot can be driven from the app with a live first-person video feed or from a wireless controller, and with its 3D depth camera it tracks targets, follows coloured lines, recognises waste for sorting and grasps objects in 3D. The arm keeps its two controllers, a Raspberry Pi 5 or NVIDIA Jetson with an ESP32, and runs multimodal large AI models and the OpenClaw agent. It runs ROS 2 Humble, and Hiwonder supplies tutorials, source code and system images.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Mecanum Chassis · Tank Chassis
Controller: Without Raspberry Pi Controller · With Raspberry Pi 5 (4GB) · With Raspberry Pi 5 (8GB) · With Raspberry Pi 5 (16GB) · Without Jetson Controller · With Jetson Nano(4GB) · With Jetson Orin Nano Super(4GB) · With Jetson Orin Nano Super(8GB)

What it does

Built for.

Mecanum or tank chassis
The mecanum chassis can move in any direction across the floor by setting each wheel's speed and direction. The tank chassis uses anti-slip tracks, encoder motors and multi-wheel drive for precise driving and turning.
Suspension for uneven ground
Both chassis are suspended. On the tank chassis, Hiwonder's suspension uses carbon steel torsion springs and stainless steel bearings to help the robot adapt to uneven and rough terrain.
Vision on the move
The depth camera locks on to a target and follows it, follows lines of a chosen colour, and with YOLO26 recognises waste for sorting. Fusing colour and depth lets the arm grasp, sort and carry objects in 3D.
Remote control
The app streams real-time first-person video for remote driving, and the wireless controller drives the robot and can be programmed with custom actions.
Large AI models and OpenClaw
Language and vision models working with the OpenClaw agent handle tasks such as understanding a scene, tracking a moving object and gathering data into reports.
Choosing a controller
The host controller is a Raspberry Pi 5, a Jetson Nano or a Jetson Orin Nano Super, working with the ESP32 controller that drives the servos.

Where it is used

Applications.

Teaching mobile manipulation: drive to an object, pick it up and carry it
Line following and target tracking on a moving robot
University ROS 2 and embodied AI courses
Model logistics and waste sorting exercises

Videos

See it run.

Specifications

The full sheet.

Chassis options: Suspended mecanum wheel chassis or suspended tank chassis
Mecanum chassis: 302 × 251 × 97 mm; aluminium alloy; 10 kg maximum payload; 110 rpm no-load speed; 12 V
Tank chassis: 337 × 246 × 91 mm; aluminium alloy; 10 kg maximum payload; 110 rpm no-load speed; 12 V
Chassis motor: 520 Hall encoder geared motor, 1:90 reduction ratio, 15 kg·cm stall torque
Arm material: Metal brackets
ROS controller: Raspberry Pi 5 / Jetson Nano / Jetson Orin Nano
ESP32 controller: ESP-WROOM main chip
Camera: Depth camera
Servo models: HX-12H / HX-30HM / HX-65HM intelligent bus servos
Control methods: ROS topics/nodes, Python programming, app control, PC software control
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)
Included materials: Tutorials, ROS source code, ESP32 source code, system images, supporting software