# AI-FanGe/Microduck-build-tutorial

> Microduck is a compact bipedal robot project on Raspberry Pi Zero 2 W with 14 Dynamixel XL330 servos and a BNO08x IMU. It includes deployment code for walking via an ONNX policy and a reinforcement learning training environment based on MuJoCo/MjLab.

- Magnitude: 1.2 out of 10 — Steady
- Stars: 1,233 total · Not enough measurements today
- Star trust: star growth looks organic
- Category: Hardware, IoT & robotics · Language: Python · License: MIT · Created: 2026-09-04 · Last push: 2026-09-11
- GitHub: https://github.com/AI-FanGe/Microduck-build-tutorial · Page: https://gitnova.dev/en/r/AI-FanGe/Microduck-build-tutorial

## Useful for

- Assemble the robot following the guide: prepare hardware, flash microduck.img.xz, and set up Wi-Fi
- Train a new walking policy in MuJoCo/MjLab and export walk.onnx
- Run the prebuilt walking model on Raspberry Pi via SSH and control it with a gamepad

## Why it’s here

- There are not enough fresh counter measurements for today's UTC day. The gain is unknown.
- The repository is 40 days old and already has 1,233 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 309
- Issues and pull requests: 12
- Watchers: 11
- Average over the last week: 6 per day
- Usual pace: 15 per day
- Latest release: image.v1 (2026-09-05)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-04 … 2026-11-02: 4, 10, 7, 7, 5, 8, 6, 8, 6, 5, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None, None

## Magnitude by day, last 14 days

10-01 1.5, 10-02 1.4, 10-03 1.3, 10-04 1.2, 10-05 1.3, 10-06 1.5, 10-07 1.3, 10-08 1.4, 10-09 1.4, 10-10 1.5, 10-11 1.3, 10-12 1.5, 10-13 1.5, 10-14 1.2

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-14 00:06 UTC, updated every 30 minutes.