A team from the University of Hong Kong and KAI Research has developed a system called SMASH 2.0 that enables two humanoid robots to autonomously play a full 11-point game of table tennis. This advanced system integrates visual perception, trajectory prediction, motion planning, and full-body control, allowing the robots to handle both short and long balls and perform autonomous serves. The development is a significant step towards robots understanding and participating in complex, real-time competitive scenarios, moving beyond simple ball-catching tasks. AI
IMPACT Demonstrates advanced AI capabilities in real-time decision-making and full-body control for complex physical tasks.
RANK_REASON Research paper detailing a new system for humanoid robots to play table tennis autonomously. [lever_c_demoted from research: ic=1 ai=1.0]
- 宇树G1
- humanoid robots
- KAI Research
- Project Ace
- Sony
- table tennis
- University of Hong Kong
- World Humanoid Robot Sports Competition
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