# TheRobotStudio/SO-ARM100

Standard Open Arm 100

Repository: https://github.com/TheRobotStudio/SO-ARM100
Canonical: https://ross.abutalabs.com/products/so-arm100
License: Apache-2.0
License Family: permissive
Last push: 2026-08-05T09:21:21+00:00

## Health v2 (maintenance only)
Score: 58/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 8, longevity 60
- inputs: {"age_days": 845, "days_push": 28, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7199, forks 652 (observed 2026-08-28T04:09:56.551826+00:00)

## What it is
Open-source hardware designs and documentation for the SO-100/SO-101 low-cost robot arms (leader and follower), including bill of materials, 3D-printable parts, assembly guides, and integration with the Hugging Face LeRobot library for AI robotics.

## Use cases
- build a low-cost robot arm for AI experiments
- set up leader-follower teleoperation with LeRobot
- 3D print and assemble an open-source robot arm
- collect robot manipulation datasets for imitation learning
- source parts for a SO-101 arm kit

## When to choose
- you want an affordable open-hardware robot arm compatible with LeRobot
- you need designs you can 3D print and assemble yourself
- you want community-supported hardware for robotics AI research

## When to avoid
- you need an industrial-grade or high-payload robot arm
- you want a fully assembled plug-and-play robot with vendor support only
- you need closed hardware with certified safety compliance

## Facets
- artifact type: learning-resource
- maturity: active
- function: robotics, machine-learning, sdk
- domain: robotics, hardware, artificial-intelligence, tutorials
- platform: cross-platform, python
- tags: robot-arm, open-hardware, 3d-printing, lerobot, leader-follower, teleoperation, bill-of-materials

## Member repositories
- TheRobotStudio/SO-ARM100 (main) score 58

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:56.551826+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 2026-08-29T17:39:52.425726+00:00, confidence not recorded.
  - readme: https://github.com/TheRobotStudio/SO-ARM100 (fetched 2026-08-28T04:09:56.551826+00:00, sha 8e67cf733632)
- Data as of 2026-08-30T08:39:29.467469+00:00.