Petoi Petoi BittlevsMangDang Technology Co., Limited Mini Pupper
Side-by-side comparison of Petoi Petoi Bittle and MangDang Technology Co., Limited Mini Pupper: specs, price, use cases and SDKs.

Petoi Bittle
An open-source, programmable robot dog for STEM learning and robotics enthusiasts.

Mini Pupper
An open-source, Raspberry Pi-powered quadruped robot for education and robotics exploration.
Specifications
| Spec | Petoi Bittle | Mini Pupper |
|---|---|---|
| Price (USD) | $231 | $649 |
| Category | quadruped | quadruped |
| Payload | null kg | null kg |
| Runtime | 1 h | 0.41 h |
| Speed | null m/s | null m/s |
| Weight | null kg | 0.56 kg |
| Degrees of Freedom | 9 | 12 |
| Battery | 1000 mAh Li-ion battery | 800 mAh |
- STEM & Robotics Education
- Learning robotics & coding
- Researching quadruped robots
- Developing AI applications
- Interactive play
- Educational tool
- Robotics experimentation
- Learning ROS and SLAM
- Computer vision and AI functions
- Multi-robot coordination
When to pick which
Choose the Petoi Bittle for K-12 STEM programs or individual hobbyists requiring an affordable, long-lasting entry point into quadruped robotics. Its $231 price point allows educational institutions to deploy larger fleets for classroom-wide coding lessons compared to the more expensive Mini Pupper. With a 1-hour runtime—more than double its competitor—it is better suited for continuous instructional sessions without frequent recharging interruptions. The 9 degrees of freedom and support for Petoi Coding Blocks and Arduino make it the optimal choice for teaching fundamental logic and motion sequences to beginners before they transition to complex kinematics.
Select the MangDang Mini Pupper for university-level research labs or industrial R&D teams focused on advanced autonomous navigation and computer vision. While priced higher at $649, its 12 degrees of freedom provide the necessary agility for sophisticated gait analysis and terrain traversal that 9-DOF models cannot achieve. The native integration with ROS, ROS2, and the SLAM Toolbox makes it a superior platform for developers building mapping or multi-robot coordination systems. Its compatibility with OpenCV and Nav2 allows for high-level AI deployment, such as object tracking and path planning, which are critical for professional robotics experimentation.
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