Hiwonder PuppyPi
A Raspberry Pi powered quadruped robot dog built for teaching: open Python SDK, computer vision and gait control, ready for classrooms and clubs.
- AI
- Multimodal model (ChatGPT)
- Servos
- 8 coreless servos (8 kg·cm, metal gearing)
- Vision
- 2-DOF HD camera (target tracking, face & tag recognition)
- Balance
- Six-axis IMU, self-balancing
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Highlights
- ✓Genuine ROS1/ROS2 platform for legged robotics
- ✓8 DOF, 8-servo linkage legs + IMU for self-balancing gaits
- ✓AI vision: target tracking and face detection
- ✓TOF LiDAR and ultrasonic sensing supplied in the Pro kit
- ✓Open-source and Python-programmable
Overview
The Hiwonder PuppyPi is an open-source ROS quadruped robot dog powered by the Raspberry Pi. Eight coreless servos with a linkage-leg design and an onboard IMU give it agile, self-balancing gaits, while a 2-DOF 480P camera drives AI vision such as target tracking and face detection. Compatible with ROS1 and ROS2 and programmable in Python, it supports optional TOF LiDAR for 360-degree scanning, SLAM mapping and autonomous navigation, plus a multimodal AI model (ChatGPT).
Specifications
| AI | Multimodal model (ChatGPT) |
| Servos | 8 coreless servos (8 kg·cm, metal gearing) |
| Vision | 2-DOF HD camera (target tracking, face & tag recognition) |
| Balance | Six-axis IMU, self-balancing |
| Control | Autonomous, or wireless handle (Pro kit) |
| Framework | ROS1 & ROS2 |
| Controller | Raspberry Pi 5 (2 / 4 / 8 / 16GB) |
| Programming | Python |
| Distance sensing | TOF LiDAR + ultrasonic — supplied in the Pro kit |
| Degrees of freedom | 8 DOF (2 per leg) |