Legged robots

JetHexa 2027

The ROS 2 JetHexa on Raspberry Pi 5 or Jetson Orin, with lidar, depth vision and AI models in the higher kits.

Raspberry Pi
NVIDIA Jetson
Suggested for university

JetHexa 2027 is an 18DOF hexapod for ROS 2 teaching, run by a Raspberry Pi 5 or an NVIDIA Jetson controller on Ubuntu 22.04 and ROS2 Humble. An inverse kinematics gait gives it smooth movement in any direction. The Starter Kit has a monocular camera; the Standard Kit adds a COIN-D6 lidar and an AI voice interaction module; the Advanced Kit adds an Aurora930 Pro depth camera; and the Ultimate Kit pairs the depth camera with an RPLIDAR C1. With the voice module, multimodal AI models and the OpenClaw AI agent turn spoken or typed instructions into tasks. Hiwonder provides Python support, tutorials and open-source code.

Zeta42 is an authorised Hiwonder partner in the Middle East.

Configurations

Choose how it ships.

Model: Starter Kit · Standard Kit · Advanced Kit · Ultimate Kit
Controller: Without Controller · With Raspberry Pi 5 (4GB) · With Raspberry Pi 5 (8GB) · 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.

Inverse kinematics gait
Hiwonder's gait algorithm calculates all 18 joint trajectories in real time for 360° omnidirectional movement. The app and PC software adjust body height, pitch, roll, stride and speed as it walks.
Lidar and depth vision
From the Standard Kit up, a TOF lidar handles SLAM mapping, multi-point navigation and dynamic obstacle avoidance. The Advanced and Ultimate kits add a 3D depth camera for depth maps, point clouds and distance measurement, and with both sensors JetHexa switches between climbing, crawling and lowering its body to get past obstacles.
Multimodal AI and OpenClaw
With the AI voice module (Standard Kit and up), language, speech and vision models let JetHexa talk, describe a scene, track an object it is asked to find, patrol along coloured lines and carry out long multi-step voice commands. The OpenClaw agent breaks a complex instruction into sub-tasks and acts on them.
Vision
OpenCV, MediaPipe and YOLO26 handle object detection and KCF target tracking. An LCD screen shows system parameters, and ready-made demos such as face tracking, gesture control and body posture control run from start-up.
Control and simulation
Drive it from the iOS and Android app with a live camera view, from a wireless controller, or from the PC software's graphical action editor. MoveIt2 and Gazebo simulation run on a 1:1 URDF model.
Choosing a kit
Starter: monocular camera. Standard: COIN-D6 lidar, monocular camera and AI voice module. Advanced: COIN-D6 lidar, depth camera and voice module. Ultimate: RPLIDAR C1, depth camera and voice module. Each kit is offered with a Raspberry Pi 5, a Jetson Orin Nano Super or a Jetson Orin NX Super, or without a controller for buyers who already have a compatible one.

Where it is used

Applications.

University ROS 2 courses on legged locomotion and navigation
Embodied AI projects linking language models to a walking robot (Standard Kit and up)
SLAM mapping and navigation over uneven ground (Standard Kit and up)
3D vision and point cloud processing (Advanced and Ultimate Kit)

Specifications

The full sheet.

Dimensions: 430 × 400 × 226 mm
Product weight: Starter Kit: 2.49 kg, Standard Kit: 2.57 kg, Advanced Kit: 2.67 kg, Ultimate Kit: 2.71 kg
Frame material: All-metal aluminium alloy frame, anodised finish
DOF: 18DOF
ROS controller: Raspberry Pi 5 / Jetson Orin Nano Super / Jetson Orin NX Super, or without a controller
Sub-controller: Multi-function expansion board
Camera: Monocular camera (Starter and Standard Kit); Aurora930 Pro depth camera (Advanced and Ultimate Kit)
Lidar: COIN-D6 (Standard and Advanced Kit); RPLIDAR C1 (Ultimate Kit)
Voice: WonderEcho Pro AI voice interaction module (Standard, Advanced and Ultimate Kit)
Battery: 11.1V 3500mAh 5C lithium battery
Battery life: 60 min
Operating system: Ubuntu 22.04.5 LTS + ROS2 Humble
Communication: Wi-Fi / Ethernet
Software: iOS / Android app + Windows PC software
Storage: 64GB TF card (Raspberry Pi 5) / 128GB solid-state drive (Jetson Orin Nano / Orin NX)
Programming tools: Python / C / C++
Servo model: HX-35H bus servo
Control method: App, wireless controller, PC
Package weight: Starter Kit: 3.71 kg, Standard Kit: 3.79 kg, Advanced Kit: 3.89 kg, Ultimate Kit: 3.93 kg
Package dimensions: 387 × 356 × 210 mm