Robotics
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)
- LiDAR
- Optional TOF LiDAR — SLAM & navigation
- Servos
- 8 coreless servos (8 kg·cm)
- Vision
- 2-DOF HD camera (tracking, face detection)
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Highlights
- ✓Genuine ROS1/ROS2 platform for legged robotics
- ✓8-servo linkage legs + IMU for self-balancing gaits
- ✓AI vision: target tracking and face detection
- ✓Optional LiDAR for SLAM mapping & navigation
- ✓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 HD 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) |
| LiDAR | Optional TOF LiDAR — SLAM & navigation |
| Servos | 8 coreless servos (8 kg·cm) |
| Vision | 2-DOF HD camera (tracking, face detection) |
| Balance | IMU self-balancing |
| Framework | ROS1 & ROS2 |
| Controller | Raspberry Pi 5 |
| Programming | Python |