A Gaussian Process model learns impact-state-dependent bounce parameters for an impulse contact model across 10 diverse racket rubbers, reducing velocity and spin prediction errors versus constant baselines and supporting online adaptation.
Trajectory prediction of spinning ball for ping-pong player robot
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Learning Racket-Ball Bounce Dynamics Across Diverse Rubbers for Robotic Table Tennis
A Gaussian Process model learns impact-state-dependent bounce parameters for an impulse contact model across 10 diverse racket rubbers, reducing velocity and spin prediction errors versus constant baselines and supporting online adaptation.