Google's DeepMind Robot Reaches Amateur Level in Table Tennis

The AI-powered system demonstrates impressive agility and learning capabilities but struggles against advanced players.

The robot won 13 out of 29 matches against human opponents, performing best against beginners and intermediates.
Developed by Google's AI branch, DeepMind, the robot adapts its strategy using real-time data and camera tracking.
The system combines simulated training with real-world data to improve its performance over time.
Despite its success, the robot cannot yet handle advanced techniques like high-speed shots or heavy spin.
Researchers view the project as a step towards AI performing complex tasks in natural environments.