Legged robots

ROSpider

A ROS 2 hexapod with a 6DOF arm, lidar and AI vision, on NVIDIA Jetson or Raspberry Pi 5.

Raspberry Pi
NVIDIA Jetson
Suggested for university

ROSpider is an all-terrain ROS hexapod from Hiwonder with a 6DOF robot arm on its back. Eighteen 35kg high-voltage bus servos and an inverse kinematics gait let it change gait and posture to cross rubble, bridges and narrow passages. A Jetson or Raspberry Pi 5 controller works with an STM32 sub-controller, and a lidar handles SLAM mapping, navigation and obstacle avoidance. The Starter Kit has a monocular camera; the Standard, Advanced and Ultimate kits carry a 3D depth camera for 3D grasping and sorting. The Advanced Kit adds the WonderEcho Pro AI voice box and the Ultimate Kit a 6-microphone array, for voice control and large AI model applications.

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(8GB) · With Jetson Nano(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
ROSpider switches between tripod and wave gaits, adjusts its attitude and balances itself, so it can cross narrow passages, bridges and collapsed ground.
Lidar SLAM
The TOF lidar maps a space for centimetre-level navigation and path planning, detects moving obstacles in real time and can follow a target.
3D vision and a 6DOF arm
In the Standard, Advanced and Ultimate kits, the depth camera fuses colour and depth data, and inverse kinematics lets the arm track, grasp, sort and carry objects.
Voice and large AI models
With the Advanced Kit's WonderEcho Pro or the Ultimate Kit's microphone array, language, speech and vision models let ROSpider take spoken commands, describe a scene, track a named object, and navigate somewhere to pick something up and bring it back.
Vision and deep learning
YOLO26 object detection and KCF object tracking run on the camera, alongside slam_toolbox lidar mapping and TEB path planning.
Control
Drive it from the iOS and Android app, the wireless controller or the Windows PC software's graphical action editor.

Where it is used

Applications.

University ROS 2 courses on legged mobile manipulation
SLAM mapping and navigation over uneven terrain
3D grasping and sorting with a depth camera (Standard Kit and up)
Embodied AI with voice commands (Advanced and Ultimate Kit)

Videos

See it run.

Specifications

The full sheet.

Product weight: 3.2 kg (Ultimate Kit)
Body material: Anodised aluminium alloy structure
Body DOF: 18DOF
Robot arm DOF: 6DOF (robot arm + gripper)
ROS controller: Jetson Nano / Jetson Orin Nano / Jetson Orin NX / Raspberry Pi 5
Sub-controller: STM32F407VET6 control board
Camera: Monocular camera (Starter Kit); Aurora930 Pro depth camera (Standard, Advanced and Ultimate Kit)
Lidar: STL-19P D500
Voice: WonderEcho Pro AI voice interaction box (Advanced Kit); integrated 6-microphone array (Ultimate Kit)
Battery: 11.1V 6000mAh 3C lithium battery
Battery life: 60 min
Operating system: Ubuntu 22.04.5 LTS + ROS2 Humble
Software: iOS / Android app + Windows PC software
Communication: Wi-Fi / Ethernet
Programming tools: Python / C / C++
Storage: 64G TF card (Jetson Nano / Raspberry Pi 5); 128G SSD (Orin Nano / Orin NX)
Servo models: HX-12H, HTS-20H and HX-35H bus servos
Control methods: App, wireless controller, PC
Included materials: Manual, tutorials, ROS source code, system image, software
Shipping dimensions: 387 × 356 × 210 mm