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Closing the serve–rally performance gap via paddle clearance and improved spin classification

Establish whether allowing the ABB IRB 1100 robot’s paddle to approach closer to the table surface and improving real-time serve spin classification measurably closes the performance gap between serving and rallying phases in competitive robot–human table tennis matches.

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Background

In a five-player paper with points allowed on services, the robot’s match, set, and point win rates were notably lower than in rally-focused matches, indicating a serving-phase performance gap. Two contributing factors were identified: strict collision avoidance preventing the paddle from approaching low serves near the table, and low recall for underspin in the spin classifier, partly due to motion capture interruptions.

The authors explicitly conjecture that increasing permissible paddle proximity to the table and improving real-time spin classification would close most of this gap. Validating this conjecture would inform safety, perception, and control trade-offs needed to reach rally-level performance during the service phase.

References

Given the underlying capabilities of the specialized topspin and underspin serving LLCs, we conjecture that enabling the paddle to move closer to the table and improving spin classification of serves in real time would close most of the gap between the serving and rallying performance of the system.

Achieving Human Level Competitive Robot Table Tennis (2408.03906 - D'Ambrosio et al., 7 Aug 2024) in Section 4, Serves