At this year’s IROS robotics conference, one booth had a sign that said “Kick Me.” Visitors did. They pushed the robot, shoved it, kicked its legs — and the machine adjusted its posture, caught its balance, and kept standing. The robot was the RP1, and its maker, RoboParty, just unveiled it as what it calls the world’s first high-performance, full-stack open-source bipedal humanoid.

The “open-source” part is the story. Most humanoid robots are black boxes: proprietary hardware, secret software, research papers that tell you what the robot did but never how. The RP1 goes the other direction. RoboParty plans to progressively release the mechanical designs, motion-control systems, simulation environments, SDKs, training tools and its PartyOS development foundation. A lab that wants to study humanoid locomotion won’t need a nine-figure budget. It will need a download.

What the machine can do

The specs read like a serious research platform, not a toy. The RP1 delivers peak joint torque up to 160 N·m through in-house-developed Romomo actuator modules — enough power for dynamic movement, not just careful laboratory steps. A real-time motion-control system keeps it responsive, and the “Kick Me” demonstration at IROS put that responsiveness on public display. Disturbance recovery — staying upright when the world pushes back — is one of the hardest problems in humanoid robotics, and RoboParty chose to make it the demo.

Under the hood sits PartyOS, the company’s open R&D foundation for humanoid robotics. It integrates UFO, a training framework that discovers motor skills through unsupervised reinforcement learning — skill transitions, disturbance recovery, fall recovery — without relying on predefined motion trajectories. In plain terms: instead of engineers programming every movement by hand, the robot learns to move by trying, failing and improving in simulation, then transfers those skills to its real body.

The unveiling builds on RPO, or ROBOTO ORIGIN, RoboParty’s fully open-source humanoid project launched in January 2026. That project has already collected more than 2,500 GitHub stars — a respectable following for hardware, where open-source communities are far rarer than in software. The RP1 is the commercial-grade next step: the same open philosophy, with performance aimed at serious embodied-AI research.

Why open source matters for robots

Consider what open source did for software. Linux, TensorFlow, PyTorch — the shared foundations let thousands of teams build on each other’s work instead of reinventing it. Robotics never got that treatment, because robots are physical: expensive to build, hard to ship, and every lab’s hardware is slightly different. Research has been fragmented by necessity.

A capable open-source humanoid changes the equation. If hundreds of labs run the same platform, results become comparable. A locomotion paper from Tokyo can be reproduced in Berlin. Improvements to balance control, funded by one university, benefit every team on the platform. RoboParty is betting that this network effect — the same one that made open-source software unstoppable — will work for humanoid bodies too.

The timing is right. IDC estimates nearly 25,000 humanoid robots shipped globally in the first half of 2026, up 432% year over year, with Chinese vendors like Agibot and Unitree leading on volume. The manufacturing ramp is real. But most of those robots went to research labs, education, displays and data centers — not factory floors. The industry’s open question isn’t who can build the most robots. It’s who can make robots genuinely useful. Open platforms accelerate exactly that search, by putting capable hardware in the hands of the people most likely to find the answer.

The competition isn’t sitting still

The RP1 enters a crowded field. Boston Dynamics just gave its Atlas a dexterous new hand with 13 degrees of freedom, aimed at real factory work at Hyundai’s Georgia plant. Dyna Robotics’ Taku is already doing unsupervised laundry and kitchen workflows in hotels and restaurants. Agility Robotics is partnering on safety infrastructure to scale its Digit platform into warehouses.

RoboParty isn’t trying to out-manufacture those companies. It’s playing a different game: become the platform the researchers use, the way a generation of roboticists grew up on the same open-source software stack. If the RP1 becomes the default humanoid in university labs, RoboParty wins even if it never sells a robot to a factory.

What it means for researchers, industry and everyone else

For researchers and educators, the RP1 lowers the barrier to humanoid work dramatically. A graduate student with a good idea about balance control no longer needs her university to buy a million-dollar robot or build one from scratch. That democratization is how fields accelerate — the best ideas often come from the labs with the least money.

For industry, open-source humanoids are a talent pipeline. Every student who learns robotics on an RP1 is an engineer who can be hired to work on commercial platforms. Companies that once guarded their hardware are discovering what software firms learned decades ago: open foundations grow the ecosystem that feeds you.

For everyone else, the “Kick Me” demo is the detail to remember. A robot that can be shoved and stay standing is a robot that’s getting close to surviving the real world — cluttered, unpredictable, full of things that push back. The RP1 won’t be folding your laundry tomorrow. But somewhere in a university lab, a researcher is downloading its designs tonight. And that’s how the future usually starts: not with a product launch, but with a download.