The dual-arm conveyor kit: two NexArm ROS arms at either end of a conveyor belt, with waste bins, sorting trays, a recognition zone and an 11.6-inch touchscreen on a metal sandbox

Robot arms

NexArm ROS Dual-Arm Conveyor Development Kit

Two NexArm ROS arms, a conveyor belt and a touchscreen on NVIDIA Jetson, for model production-line work.

NVIDIA Jetson
Suggested for university

The NexArm ROS Dual-Arm Conveyor Development Kit puts two NexArm ROS robot arms beside an electric conveyor belt on one sandbox, run by an NVIDIA Jetson controller, with an 11.6-inch HD touchscreen and a visual control centre. Each arm has its own 3D depth camera and AI voice interaction box, and inverse kinematics keeps the two arms in time as they pass, carry and sort objects together, as on an industrial production line. Hiwonder builds it around multimodal large AI models, OpenClaw agents, ACT and VLA, machine vision and inverse kinematics, for ROS 2 teaching and embodied AI research.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: With Jetson Nano(4GB) · With Jetson Orin Nano Super(4GB) · With Jetson Orin Nano Super(8GB) · With Jetson Orin NX Super(8GB) · With Jetson Orin NX Super(16GB)

What it does

Built for.

Two arms working together
Inverse kinematics keeps the two arms precisely synchronised, so they can hand objects between them, carry them and sort them.
Conveyor sandbox
The sandbox holds the electric conveyor belt, sorting trays, waste bins, a recognition zone and the 11.6-inch touchscreen, for material transport, colour sorting and waste sorting exercises.
3D depth perception
Each arm's depth camera captures a target's depth and spatial coordinates, and fusing colour with depth lets the arms grasp, sort and move objects in 3D space.
Large AI models and OpenClaw
Speech, 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.
Jetson controllers
The kit runs on a Jetson Nano, Jetson Orin Nano Super or Jetson Orin NX Super with ROS 2 Humble. Hiwonder recommends an Orin controller for deeper development of AI models.
Many ways to control it
Run it from the PC software, the app, a wireless controller, voice commands or ROS 2 programs.

Where it is used

Applications.

Teaching automated production lines: transfer, transport and sorting
Research into dual-arm coordination and embodied AI
University courses in ROS 2 and machine vision
Waste and colour sorting exercises driven by voice or AI models

Videos

See it run.

Specifications

The full sheet.

Robot arms: Two NexArm 6DOF robotic arms
Total weight: 7.74 kg
ROS controller: Jetson Nano: Ubuntu 18.04 LTS + Docker + ROS 2 Humble; Jetson Orin Nano Super: Ubuntu 22.04 LTS + ROS 2 Humble; Jetson Orin NX Super: Ubuntu 22.04 LTS + ROS 2 Humble
Inputs: 3D depth camera, PS3 wireless controller, AI voice interaction box (recognition and broadcast)
Outputs: Robotic arm and gripper, buzzer, 11.6-inch display, conveyor belt, AI voice interaction box
Touchscreen: 11.6-inch HD touchscreen
Touchscreen detail: 10-point capacitive, 1366 × 768 px, built-in speakers, USB/HDMI/power interfaces
Programming languages: Python / C / C++
Power supply: 12V 5A DC power adapter
Power port: DC5.5 × 2.5 power port
Communication methods: USB serial / Wi-Fi / Bluetooth / ROS 2
Control methods: PC software / app / wireless controller / voice / ROS 2 program control
Frame material: Metal frame