Robot arms

JetArm Pro

The JetArm 3D vision arm with an add-on: a mecanum or tank chassis, a sliding rail or a conveyor belt.

NVIDIA Jetson
Suggested for university

JetArm Pro is the JetArm robot arm with modular add-ons. It is supplied with a mecanum wheel chassis, a tank chassis, an electric sliding rail or a motorised conveyor belt, which opens up intelligent transport, vision line following and automated sorting. The arm keeps JetArm's 3D depth camera, its NVIDIA Jetson and STM32 controllers and its ROS1 and ROS2 support, and the Ultimate Kit adds a 6-microphone array for voice control through ChatGPT. Hiwonder provides open-source code, learning resources and hands-on experiments.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Standard Kit · Advanced Kit · Ultimate Kit
Controller: With Jetson Nano(4GB) · With Jetson Orin Nano Super(8GB) · With Jetson Orin NX Super(16GB)
Accessories: Mecanum Chassis · Tank Chassis · Conveyor Belt · Sliding Rail

What it does

Built for.

Four add-ons
Choose a mecanum wheel chassis, a tank chassis, an electric sliding rail or a motorised conveyor belt. A chassis carries the arm around; the rail and the belt turn it into a small sorting station.
On the move
On a chassis, JetArm Pro can be driven from the app or a wireless controller, track a target and follow a line with its camera. Mecanum wheels move it in any direction, sideways included.
3D vision and grasping
The depth camera on the end of the arm fuses colour and depth (RGB+D), so it can find objects of different shapes, follow them and pick them up in a 3D scene.
Voice and large AI models
With the Ultimate Kit's microphone array and a Jetson controller, JetArm Pro takes spoken commands through ChatGPT for colour sorting, waste sorting, scene description and vision tracking. Intelligent transport and the smart home assistant need a Jetson Orin Nano or Orin NX.
Train your own detection models
YOLOv11 is built in for real-time detection of several objects at once, and students can train models on their own objects, optimised for TensorRT acceleration.
Simulate first
JetArm Pro is developed on ROS and supports Gazebo, so control and algorithms can be checked in a virtual environment before they run on the real arm.

Where it is used

Applications.

Teaching mobile manipulation: drive to an object, pick it up and move it
Model production lines that sort by colour, tag or waste type on a rail or conveyor
University courses in ROS, machine vision and embodied AI
Training custom object detection models on edge hardware

Videos

See it run.

Specifications

The full sheet.

Body material: Full metal aluminum alloy bracket, anodized surface treatment
STM32 controller: ROS Robot Controller (STM32F407VET6), running FreeRTOS embedded real-time OS
ROS controller: Jetson Nano / Jetson Orin Nano / Jetson Orin NX
Control methods: USB serial port, CAN interface, Bluetooth app, RC remote controller, PC
USB expansion: 5A high-current USB HUB expansion board
Camera: Gemini Plus depth camera
Power supply: 12V 5A DC adapter / 19V 2.37A DC adapter
OS: Ubuntu 22.04 LTS + ROS Humble / Ubuntu 20.04 LTS + ROS Noetic
Software: iOS / Android mobile app
Communication: USB / WiFi / Ethernet
Programming tools: Python / C / C++ / JavaScript
Storage: 64GB TF card (Jetson Nano) / 128GB SSD (Jetson Orin Nano/Jetson Orin NX)
Servo models: HTS-21H / HTD-35H / HX-12H smart bus servos
Chassis motor: 520 Hall encoder geared motor, 1:90 reduction ratio, 15kg.cm torque (chassis add-ons)
Optional accessories: Integrated 6-channel microphone array (Ultimate Kit), HD touchscreen (Advanced and Ultimate Kit); WonderEcho Pro AI voice interaction box
Package, main unit: 3.7kg; 385 × 295 × 175 mm
Package, mecanum wheel chassis: 1.8kg; 387 × 300 × 150 mm
Package, tank chassis: 1.65kg; 390 × 305 × 165 mm
Package, sliding rail: 4.0kg; 765 × 247 × 125 mm
Package, conveyor belt: 4.5kg; 780 × 300 × 120 mm