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OpenArm: An open-source 7DOF humanoid arm

Recorded: Sept. 15, 2026, 5 a.m.

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GitHub - enactic/openarm: A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments. · GitHub

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mainBranchesTagsGo to fileCodeOpen more actions menuLatest commit History452 Commits452 CommitsFolders and filesNameNameLast commit messageLast commit date.github.github  websitewebsite  .editorconfig.editorconfig  .gitignore.gitignore  CODE_OF_CONDUCT.mdCODE_OF_CONDUCT.md  CONTRIBUTING.mdCONTRIBUTING.md  LICENSELICENSE  README.mdREADME.md  View all filesRepository files navigationREADMECode of conductContributingApache-2.0 licenseMore itemsOpenArm
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 is built with safe human-robot interaction in mind while delivering practical payload capabilities for real-world applications.

OpenArm Cell (on the right) is a standardized environment with unified background, lighting, and camera placement. Research performed using OpenArm can be reproduced around the world in consistent evaluation conditions, facilitating the global discussion on state of the art physical AI research.
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?

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openarm.dev

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docs.openarm.dev

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openarm@enactic.ai

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openarm_hardware
Hardware Docs
CERN-OHL-S-2.0
Complete CAD data: STL files, STEP files, Fusion 360 assemblies

openarm_description
Description Docs
Apache-2.0
Robot description files with URDF/xacro for simulation

openarm_can
CAN Docs
Apache-2.0
CAN control library for low-level motor communication

openarm_ros2
ROS2 Docs
Apache-2.0
ROS2 integration packages and nodes

openarm_teleop
Teleop Docs
Apache-2.0
Teleoperation packages with unilateral and bilateral control

openarm_isaac_lab
Isaac Docs
Apache-2.0
Isaac Lab simulation environment and training tasks

openarm_mujoco
MuJoCo Docs
Apache-2.0
MuJoCo specification files and assets for OpenArm

openarm_dataset
Dataset Docs
Apache-2.0
Dataset format, recording tools, and Python API

dora-openarm
Dora Docs
Apache-2.0
Dora dataflow nodes for data collection, inference, and teleop

📄 Code of Conduct
All participation in the OpenArm project is governed by our Code of Conduct.
AboutA fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.openarm.devTopicsbilateral-teleoperationforce-feedbackgenesisgravity-compensationhumanoid-robotimitation-learningmachine-learningmoveit2mujocoopen-sourceopenarmpythonreinforcement-learningrobotrobot-armroboticsros2teleoperationResourcesReadmeApache-2.0 licenseCode of conductCode of conductContributingContributingActivityCustom propertiesStars3.1k starsWatchers47 watchingForks354 forksReport repositoryReleasesPackagesUsed byContributorsLanguages

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OpenArm is an open-source, 7Degree-of-Freedom (7DOF) humanoid arm specifically engineered for physical artificial intelligence research and deployment within contact-rich environments. The design prioritizes safe human-robot interaction by incorporating high backdrivability and compliance, enabling the arm to deliver practical payload capabilities for real-world applications. A key component of the OpenArm system is the OpenArm Cell, which functions as a standardized environment featuring unified background, lighting, and camera placement. This standardization allows research conducted using OpenArm to be reproduced globally under consistent evaluation conditions, thereby facilitating global discourse on the state of the art in physical AI research.

The platform offers a flexible framework valued at $6,500 USD for a complete bimanual system, intended to support various advanced research methodologies such as teleoperation, imitation learning, simulation, and real-world data collection in tasks involving physical contact. The project is actively engaged in continuous development and seeks collaboration from researchers, partners, and companies aiming to shape the future of practical humanoid systems.

The repository structure indicates a rich, interconnected ecosystem of related tools and resources. The repository contains dedicated folders for hardware documentation, including CAD data such as STL files and STEP files, and descriptions utilizing URDF/xacro for simulation, as well as a CAN control library for low-level motor communication. Furthermore, integration with established robotics frameworks is supported through repositories for ROS2 integration packages and nodes, teleoperation packages offering unilateral and bilateral control, and simulation environments tailored for specific robotics platforms, including Isaac Lab and MuJoCo specification files and assets.

For data handling and interaction, the project provides specific tools such as a dataset format, recording tools, and a Python API, alongside Dora dataflow nodes designed for data collection, inference, and teleoperation. This comprehensive collection of code, hardware specifications, simulation tools, and datasets positions OpenArm as a robust platform for advanced robotics research. The project operates under the Apache-2.0 license and is governed by a Code of Conduct, emphasizing community participation and responsible development practices. The project topics broadly encompass areas such as bilateral teleoperation, force feedback, gravity compensation, humanoid robotics, imitation learning, reinforcement learning, and the integration of tools like moveit2mujoco and ROS2.