enactic

    enactic/openarm

    A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

    machine-learning
    bilateral-teleoperation
    force-feedback
    genesis
    gravity-compensation
    humanoid-robot
    MDX
    Apache-2.0
    3.7K stars
    391 forks
    3.7K GitHub watchers
    Updated Oct 30, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 364 days ago, with 26 contributors on GitHub.

    Gained 100% more stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides a fully open-source 7DOF humanoid arm platform for physical AI research and deployment in contact-rich environments.
    • Offers a human-scale, compliant, and backdrivable arm with practical payloads enabling safe human-robot interaction and flexible teleoperation.
    • Use for developing and testing imitation learning algorithms on real-world humanoid robotic arms.
    • Use for teleoperation research requiring bilateral force-feedback control in robotics applications.
    • Use for collecting real-world contact-rich task data to train reinforcement learning models in robotics.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    OpenArm is an open-source 7DOF humanoid arm designed for physical AI research and deployment in contact-rich environments. With high backdrivability and compliance, it excels at safe human-robot interaction while delivering practical payload capabilities for real-world applications.

    OpenArm features human-scale proportions, safety and compliance, and practical payloads. At $6,500 USD for a complete bimanual system, it provides a flexible platform for teleoperation, imitation learning, simulation, and real-world data collection in contact-rich tasks.

    We're in continuous development and actively seeking contributors, research partners, and company collaborators to shape the next generation of practical humanoid systems. Ready to join the future of open-source robotics?

    🚀 Ready to build? All hardware and software are completely open-source and ready for you to build, hack, and deploy! Start with our Getting Started Guide

    Excerpt from the enactic/openarm README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    391+84

    Open issues

    16-1

    Compared with peers in Machine Learning

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    enactic/openarm compared with Machine Learning repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    photoprism/photoprism40.4K—651 day ago
    huggingface/diffusers34.8K—653 days ago
    onnx/onnx21.6K—6331 days ago
    lukas-blecher/LaTeX-OCR16.6K—18—
    milesial/Pytorch-UNet11.7K—18—
    enactic/openarm3.7K—36364 days ago
    Category median21.6K—63—

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