Breakthrough in robot dexterity: HTD combines imitation learning with predictive tactile modeling to boost robots’ performance in complex, contact-rich manipulation tasks. Proven performance gains: ...

Humanoid robots, robotic systems with a body structure that resembles that of humans, could soon assist humans with various tasks in household environments, manufacturing sites, hospitals and other ...

FANUC is integrating its robots and teach pendant with NVIDIA simulation and AI technology for smoother, smarter action.

On May 13, during CIBF 2026 in Shenzhen, Lead Intelligent, a global leader in intelligent manufacturing solutions for new ...

A humanoid robot developed by a Japanese robotics company demonstrated advanced dexterity by sorting ...

Humanoid robots are increasingly capable of performing complex real-world tasks, but many still struggle ...

Bill Whitaker is an award-winning journalist and 60 Minutes correspondent who has covered major news stories, domestically and across the globe, for more than four decades with CBS News. For decades, ...

Last September roboticist Benjie Holson posted the “Humanoid Olympic Games”: a set of increasingly difficult tests for humanoid robots that he demonstrated himself while dressed in a silver bodysuit.

Reinforcement learning (RL) for robotics is often associated with large GPU clusters, distributed infrastructure, and x86-based development environments. Training a humanoid robot with high-fidelity ...

This ain't teleoperation. Chinese researchers have tested a new, much quicker and easier method of teaching robots to play tennis, and the results look like a breakthrough in machine learning and real ...