Born to Be Open: RoboParty Launches RP1, a Full-Stack Open-Source Humanoid

As AI increasingly moves into the physical world, humanoid robots are becoming a key platform for the next generation of embodied intelligence. But if their core technologies remain hidden inside black boxes, will innovation be defined only by the few who have access to the underlying systems?
The future of embodied AI should not be built on technological black boxes. Every researcher and developer should have the opportunity to participate.
AI models continue to advance, yet the physical systems that bring their capabilities into the real world still face significant limitations.
For robotics researchers, closed hardware and low-level control systems restrict experimental flexibility and system innovation. For embodied AI developers, limited visibility into a robot's internal behavior makes it difficult to pinpoint problems across model policies, control systems and hardware execution.

Full-Stack Open Source Across Hardware and Software
Open-source robotics should extend beyond software interfaces. To advance humanoid robotics research, developers need to understand, modify and validate the physical systems that underpin intelligent behavior.
At the hardware level,
Researchers can go beyond sending commands to a fixed robot platform. They can analyze and modify the underlying systems that determine how the robot executes movement.
When a robot fails to perform an intended action accurately, the cause may lie in the model, control policy, actuator response or mechanical structure. An open development ecosystem enables researchers to trace problems across these layers and optimize them together, with access to systems they can inspect and modify.
True open source extends beyond code to the robot itself, putting full control of the system in developers' hands.
Designed to Adapt to Research Needs
The standard
Interchangeable head modules and wrist end effectors support multiple configurations, including RoboParty's in-house-developed RP Hand dexterous hand. These interfaces allow teams to conduct a range of experiments on the same robot platform.
Open hardware and software also support controlled experiments. Researchers can compare different control methods on identical hardware or hold the control method constant while examining how hardware configuration changes affect experimental results. Recording hardware versions, software configurations and test conditions helps teams trace the causes of differences in results.
Enabling Developers to Focus on Embodied AI Models

For Whole Body Intelligence development,
WBC coordinates the arms, torso and legs to support dynamic motion tracking and posture adjustment, providing a stable motion-execution foundation for tasks that combine locomotion and manipulation. Integrated with RoboParty's in-house-developed PartyOS embodied AI system, the UFO unsupervised reinforcement learning framework and MimicLite motion imitation technology,
To meet embodied AI development requirements for experimental stability and reproducibility,
Building a Shared Foundation for Global Innovation
RoboParty launched the RPO open-source project in
"We believe the future of embodied AI should not be defined by just a handful of closed systems," said
RoboParty's vision is to make the future of embodied AI open to everyone ready to explore it.
GitHub: https://github.com/Roboparty/RP1
Website: https://roboparty.com
Media Contact: [email protected]
About RoboParty
Founded in Shanghai in 2025, RoboParty develops humanoid robot hardware, motion-control technologies, robotics software and open development tools. Its product and technology portfolio includes the RPO and RP1 humanoid platforms, in-house-developed ROMOMO joint actuator modules, the RP Hand dexterous hand and the evolving PartyOS embodied AI system. Through openly available engineering resources and development tools, the company supports robotics research, embodied AI development and collaboration across teams.
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SOURCE RoboParty
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