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RoboParty Launches RP1, a Full-Stack Open-Source Humanoid Robot

In Robotics NewsWhat’s the story?RoboParty has launched RP1, a full-stack open-source humanoid robot for embodied AI research, in a standard 24 degree-of-freedom version and a 30 degree-of-freedom Pro version.Why it…

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RoboParty Launches RP1, a Full-Stack Open-Source Humanoid Robot

In Robotics News

What’s the story?

RoboParty has launched RP1, a full-stack open-source humanoid robot for embodied AI research, in a standard 24 degree-of-freedom version and a 30 degree-of-freedom Pro version.

Why it matters

RP1’s open toolchain spans data collection, training in simulation and deployment on the physical humanoid robot, allowing researchers to carry their own embodied AI algorithms from simulation through to experimental validation on real hardware.

The bigger picture

Open-source humanoid robots such as RP1 could bring embodied AI research within reach of smaller university labs that cannot build a robot from scratch.

November 2, 2026 – RoboParty, a developer of humanoid robot hardware, motion-control technologies, robotics software and open development tools, has recently announced the launch of RP1 (ROBOTO 01), a full-stack open-source humanoid robot.

According to the company, RP1 is designed for advanced robotics research and embodied AI development. With open access to both hardware and software, the robot enables researchers to customize the system, integrate their own algorithms, and test new approaches on real hardware.

RoboParty stated that RP1 already supports foundational motor capabilities, including continuous walking, recovery from external disturbances, getting back up after a fall and human motion tracking. The company added that these capabilities provide a foundation for embodied AI model development and reduce the need for teams to repeatedly develop low-level motor skills.

RP1 provides whole-body control (WBC), which coordinates the arms, torso and legs to support dynamic motion tracking and posture adjustment, along with supporting tools for virtual reality (VR) teleoperation, data collection and playback, and motion retargeting. According to RoboParty, RP1 is integrated with its in-house-developed PartyOS embodied AI system, the UFO unsupervised reinforcement learning framework and MimicLite motion imitation technology, and supports motor skill learning, control policy development and higher-level applications. RP1 also provides an open toolchain that spans data collection, training in simulation, deployment on physical robots and experimental validation, according to the company.

RoboParty noted that the standard RP1 stands approximately 1.3 meters tall and features 24 actuated degrees of freedom (DoF), supporting research into gait, balance control and sim-to-real transfer. The Pro version features 30 actuated DoF, including a 2-DoF neck and two 7-DoF arms, supporting research into end-to-end policies, human-robot interaction and data collection for embodied AI. These DoF counts exclude the robot’s dexterous hands. Interchangeable head modules and wrist end effectors support multiple configurations, including the company’s in-house-developed RP Hand dexterous hand.

RoboParty stated that RP1 opens access to its robot body design and to technical resources for the company’s in-house-developed ROMOMO joint actuator modules, alongside technical documentation and research materials. Together, these resources establish an open development ecosystem encompassing mechanical structures, actuators, motion control, simulation environments, SDKs and training tools.

RP1’s low-level drivers and control algorithms are also fully open source, with the software stack extending to firmware, development tools, simulation resources and robot learning frameworks. According to the company, when a robot fails to perform an intended action accurately, the cause may lie in the model, control policy, actuator response or mechanical structure, and an open development ecosystem enables researchers to trace problems across these layers and optimize them together.

“We believe the future of embodied AI should not be defined by just a handful of closed systems,” said Yi Huang, founder of RoboParty. “With RP1, we want to open up more than code. We want to give researchers the opportunity to truly understand, modify and continuously advance robotic capabilities. When more teams can innovate on a shared technical foundation, the entire industry can move further forward.”

RoboParty stated that RP1 continues the approach of its RPO open-source project, which was launched in January 2026 and released mechanical and electrical design resources, along with training and deployment materials. The project has garnered more than 2,600 GitHub stars.

For more information on RoboParty and RP1, please visit the company’s website.

Image credit: RoboParty

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Sam Sprigg

Sam is the Founder and Managing Editor of Auganix, where he has spent years immersed in the XR ecosystem, tracking its evolution from early prototypes to the technologies shaping the future of human experience. While primarily covering the latest AR and VR news, his interests extend to the wider world of human augmentation, from AI and robotics to haptics, wearables, and brain–computer interfaces.