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OpenDuck Mini - Desktop Reinforcement Learning Robot Kit
$599.00
Sale price
$599.00
Regular price
Train Policies in Simulation, Deploy on Real Hardware
OpenDuck Mini is an open-source, desktop-size reinforcement learning robot inspired by the iconic BDX-style character robots. Built for makers, students, and researchers who want hands-on Sim-to-Real robotics experience.
- 16 Actuated Joints: Full-body motion for complex behaviors
- MuJoCo Simulation: Train RL policies in sim, deploy to real hardware
- 3D-Printed Design: Open-source, customizable structure
- Raspberry Pi Powered: Linux + Python ecosystem
Specifications
| Dimensions | 25cm � 18cm � 12cm |
| Weight | ~1.2kg |
| DOF | 16 actuated joints |
| Top Speed | ~0.15 m/s |
| OS | Raspberry Pi OS (Linux) + Python |
1. Build
Simple mechanical assembly with high-quality 3D printed parts and standard servos.
2. Train
Use Reinforcement Learning in simulation to teach your robot complex behaviors.
3. Play
Deploy your trained policies and watch your robot interact with the real world.
OpenDuck Mini
Desktop Reinforcement Learning Robot Kit
Real Scene
Discover OpenDuck Mini in various poses and environments, showcasing its versatile design and precision engineering.