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RoboParty RP1. Fully open-source humanoid platform.

RP1: An OpenSource Full-Stack Platform for Agentic Humanoids

From mechanical design and electronics to firmware, control and learning.
Built to be understood. Open to be built upon.

Website: RoboParty Lab: RoboParty GitHub: Party_OS


Open by Design

RP1 is RoboParty's fully open-source humanoid platform: a shared foundation for building, understanding and extending a real robot.

The platform brings mechanical and electrical design, joint modules, firmware, robot models, deployment and learning into one connected development stack. Explore a single subsystem, reproduce a build, or develop your own control and learning workflows.

Hardware you can inspectSoftware you can extendIntelligence you can explore
Mechanical CAD, schematics, PCB layouts, Gerber files, BOM and assembly documentation.Linux BSP, communication, device interfaces, robot descriptions and deployment modules.Locomotion training, motion imitation, tracking and behavior-model projects.
RP1 vaulting over a box

RP1, photographed in the real world.

One Robot. A Connected Stack.

RP1 control architecture: input / perception → motion control base (motion retargeting, motion policies) → real-time control (action decoding + serial-link solving at 500 Hz) → whole-body execution (ROMOMO joint modules, RP-hand), with an E-stop and a high-frequency feedback loop. RP1 control architecture: input / perception → motion control base (motion retargeting, motion policies) → real-time control (action decoding + serial-link solving at 500 Hz) → whole-body execution (ROMOMO joint modules, RP-hand), with an E-stop and a high-frequency feedback loop.

No black boxes, nothing withheld — full control handed back to the developer

Explore the Repositories

Release contents, supported configurations and setup instructions are maintained in each repository.

Contributions belong in the relevant sub-repository. This overview repository does not accept pull requests; please open issues and pull requests in the project you are working on.

Hardware & Tools

RepositoryDescription
rp1_hardwareMechanical source files, electronics, testing and assembly SOPs.
ROMOMOJoint modules, firmware and host tools.
RP HandDexterous hand product documentation, wiring, companion applications, CAD and robot models. Includes the C++ / Python / ROS 2 SDK entry point.
RP1_TESTRP1 full-machine testing.
roboparty_joystickRoboParty controller and app.
Robot configurations

See the description repository's current release for supported robot configurations.

Supported configurations include 24, 28, 30 and 42 DoF variants.

Software & Systems

RepositoryDescription
roboparty_deployDeployment framework for RPO and RP1, with easy-to-use SDKs for imu, motor, inference and camera modules, callable from C++ and Python.
RP1_descriptionURDF and MJCF models, 3D meshes, and robot and RP Hand configurations.
roboparty_trainIsaac Lab training workspace for RPO locomotion policies, covering AMP, BeyondMimic and Parkour workflows with RSL-RL training and motion retargeting.
RP1_firmwareLinux BSP, USB-CAN bridge, low-level SDK and packages.

Demo

ProjectDescription
AMPLearns motion priors from reference motions via adversarial training, enabling natural-looking locomotion and control.
BeyondMimicReproduces expressive whole-body movements by tracking reference motions, including dance and motion-imitation sequences.
ParkourLearns perceptive locomotion policies to traverse challenging terrain, including stairs, gaps and obstacles.
MimicLiteProvides an efficient, general-purpose humanoid motion-tracking system for training deployable PPO and PPO-ROA policies.
UFOProvides a general unsupervised reinforcement learning framework for humanoid control, supporting FB/TeCH training, motion tracking and reward and goal inference.
PBFMMaps motion references, target body states and rewards into a shared behavioral intent space, combining intent with depth perception for terrain-adaptive control.
IBFM (RP1 support coming soon)Learns reward-conditioned robust humanoid interaction via unsupervised reinforcement learning, demonstrated on carry, push and kick box tasks.
INTACT-JEPA (RP1 support coming soon)Learns an intent-to-action mapping with JEPA for goal-conditioned robot control without broad action search.
Related papers

Built in the Open. Built Together.

Meet the community, share your work, and connect with RoboParty.

Website: RoboParty QQ group 546376843 WeChat: RP1 community QR code X: @RoboParty_DEV Discord: roboparty Telegram: RoboParty_channel1 Bilibili: roboparty

The RoboParty Ecosystem

ROMOMO Party_OS roboto_origin human-humanoid-tools


RoboParty
Open hardware. Open intelligence. Shared possibility.

GPL-3.0   ·   © RoboParty   ·   Back to top
See each sub-repository for its applicable license.

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RP1: An OpenSource Full-Stack Platform for Agentic Humanoids

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