Who is this for?
This Learning Path is for developers interested in edge AI, robotics simulation, and physical AI applications. You can complete the main path without owning a physical Reachy Mini.
What will you learn?
Upon completion of this Learning Path, you will be able to:
- Understand why simulation environments can aid Edge AI and robotics development.
- Run a simulated Reachy Mini robot on a laptop or desktop.
- Use MediaPipe and TensorFlow Lite gesture recognition on Raspberry Pi 5.
- Connect an edge inference node to a robot daemon over the network.
- Display results over a web dashboard.
- Optionally extend the project toward a physical Reachy Mini, audio or multimodal interaction, or your own app.
Prerequisites
Before starting, you will need the following:
- A Raspberry Pi 5, ideally with 16 GB RAM.
- A USB webcam connected to the Raspberry Pi.
- A macOS or Linux machine, or a Windows machine with WSL2, capable of running the Reachy Mini MuJoCo simulation.
- Basic Python and Bash terminal experience.
- (Optional)
Reachy Mini