Humanoid robot training data got a free open-access upgrade: Noitom Robotics released HiPHI, a 617.5-hour studio-precision ...

Legged robots, robotic systems with legs that typically resemble those of animals or humans, could be advantageous for ...

A four-legged robot learns to run, adjust its path and jump through narrow openings using motion data and onboard vision.

AdaPT — the first proof of concept in the company’s program on professional athletic skills for humanoids — was pre-trained on part of the HiPHI-series data, heading into RO-MAN 2026 Key facts AdaPT ...

Somnia Robotics uses motion-capture technology to train AI robots in intimate human movements, highlighting advancements in ...

RAI and Boston Dynamics use reinforcement learning framework ZEST to train humanoid and quadruped robots on complex full-body ...

Singapore-based robotics data infrastructure firm Ropedia Pte. Ltd. today announced the launch of HOMIE Gen2, the next ...

The Virdyn mHand Pro Motion Capture Gloves, which employ a multi-sensor inertial architecture and offer a variety of data formats and software-development interfaces, are compatible with the system.

Noitom released 617.5 hours of HiPHI motion data for non-commercial humanoid AI research, including 200 million frames of human movement.

Chinese researchers have introduced the Unitree G1, a humanoid robot designed to play tennis, showcasing a significant step forward in robotics. Standing at 127 cm with 29 degrees of freedom, the ...

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