# apirrone/Open_Duck_Mini

Making a mini version of the BDX droid. https://discord.gg/UtJZsgfQGe

Repository: https://github.com/apirrone/Open_Duck_Mini
Canonical: https://ross.abutalabs.com/products/open_duck_mini
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-01-31T10:28:29+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 65, release rhythm 35, longevity 59
- inputs: {"age_days": 839, "days_push": 214, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3521, forks 446 (observed 2026-08-28T04:08:07.933617+00:00)

## What it is
Open Duck Mini is an open-source project to build a miniature (~42cm) bipedal robot inspired by Disney's BDX droid, with a bill of materials under $400. The repository centralizes CAD designs, simulation setup, and reinforcement learning policies (trained in MuJoCo) for making the robot walk.

## Use cases
- build a mini BDX droid robot
- train walking policies with reinforcement learning
- sim2real transfer for bipedal robots
- convert Onshape CAD to MuJoCo simulation
- low-cost open-source bipedal robot kit

## When to choose
- you want to build a small open-source bipedal robot on a budget
- you're learning RL-based locomotion and sim2real workflows
- you want a community-supported DIY robotics project

## When to avoid
- you need a polished, fully documented product
- you need a wheeled or quadruped robot instead of bipedal
- you want turnkey hardware without assembly and tuning

## Facets
- artifact type: application
- maturity: active
- function: machine-learning, reinforcement-learning, simulation, robotics
- domain: robotics, reinforcement-learning, hardware, simulation
- platform: python
- tags: open-hardware, bipedal-robot, mujoco, sim2real, diy-robot, onnx, linux, gpu

## Member repositories
- apirrone/Open_Duck_Mini (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:07.933617+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:35:27.254222+00:00, confidence not recorded.
  - readme: https://github.com/apirrone/Open_Duck_Mini (fetched 2026-08-28T04:08:07.933617+00:00, sha 0b28230a5c13)
- Data as of 2026-08-30T08:39:29.467469+00:00.