SMASH 2.0 Robots Challenge Human Players
💡See how embodied AI combines perception, planning, and whole-body control in a demanding real-world task.
⚡ 30-Second TL;DR
What Changed
SMASH 2.0 was demonstrated in a standard table-tennis interaction area at WRC 2026.
Why It Matters
The demonstration illustrates how embodied AI is moving from isolated perception or manipulation modules toward integrated, real-time control. For developers, table tennis is a demanding benchmark because it requires fast sensing, prediction, coordination, and continuous adaptation.
What To Do Next
Prototype a closed-loop robotics benchmark by connecting camera-based ball tracking, trajectory prediction, and low-level arm control, then measure end-to-end latency and successful returns.
Key Points
- •SMASH 2.0 was demonstrated in a standard table-tennis interaction area at WRC 2026.
- •The system integrates visual perception, trajectory prediction, motion planning, and whole-body control.
- •Visitors reportedly queued to play against the robot, highlighting its real-time physical interaction capabilities.
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