Humanoid Robot Learns Impressive Tennis Skills From Imperfect Human Motion

Humanoid robot learns impressive tennis skills from imperfect human motion

Roboticists have struggled to get humanoid robots to effectively replicate athletic sports skills, such as those needed for tennis. These sports require highly dynamic motion, quick reactions, and high precision that robots are not usually equipped to handle. Past research attempted to use kinematic data and video-based extraction of human motion data, but these approaches were complex and often physically infeasible. Some robots have been train…

🎾 Rally against the machine

Tennis is brutally hard for robots: fast reactions, full-body movement, constant adjustment. It’s also really difficult for your cousin Ted, who’s trying to get back into it after eight years of zero activity. Meet LATENT, a humanoid system that tracks, plans and returns shots in real time with millisecond reactions. Full-body coordination sustains rallies, instead of a swing and a prayer.  🎾Your humanoid tennis player is here!🤖Introducing LA…

Humanoid Robot Learns Tennis from Limited Motion Data

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 Unitree G1 combines advanced mechanics with a unique 3D-printed connector that enables precise racket handling. What sets this robot apart is its reliance on […] The post Humanoid Robot Learns Tennis from Limited Motion Data appeared first on Geeky Gadg…

Humanoid robot gets surprisingly good at tennis

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-world AI.Continue ReadingCategory: AI and Humanoids, TechnologyTags: Humanoid, Unitree, Sport, Tennis, Machine Learning, Artificial Intelligence