HITTER, a humanoid robot designed by researchers at the FHL Vive Center for Enhanced Reality at UC Berkeley, demonstrates incredible skills in table tennis, mimicking human-like movements. This robot showcases its ability to balance, make quick decisions, and respond effectively to shots.

In recent tests, HITTER managed to achieve 106 consecutive shots in a rally against a human opponent, displaying a level of dexterity and control that surpassed average human players.

HITTER

Additionally, its movements are enhanced through reinforcement learning, where it has analyzed videos of human motion to improve its gameplay. Researchers stated that the design separates high-level trajectory planning from low-level control execution, contributing to the impressive performance.

This development highlights the ongoing advancements in robotics and AI, blending technology with sports in unprecedented ways.