Techman Robot demonstrated its humanoid robot TM Xplore I, and advanced motion training technology at Nvidia GTC 2026. The company announced a partnership with motion capture specialist J-Mex to ...

The current lack of real-world physical data for humanoid robots means they still require substantial training costs.

Chinese robotics player PNDbotics turned heads at the World Artificial Intelligence Conference in Shanghai (WAIC 2025), showcasing for the first time its full-sized humanoid Adam alongside its ...

On Thursday, a large group of university and private industry researchers unveiled Genesis, a new open source computer simulation system that lets robots practice tasks in simulated reality 430,000 ...

China is training humanoid robots in dedicated “robot schools,” using VR-guided repetition and real-world mockups to prepare ...

A new AI system called LATENT helps a humanoid robot react faster on the tennis court by learning from imperfect human motion data.

In context: Teaching robots new skills has traditionally been slow and painstaking, requiring hours of step-by-step demonstrations for even the simplest tasks. If a robot encountered something ...

In sport, the margin between success and failure is often measured in milliseconds. It could be a cricketer adjusting their foot positioning, a runner refining their sprint start or a footballer ...