8 papers
Event-Time Hybrid Optimal Control for Robotic Table Tennis Serves
Thomas Gossard, Till Köpff, Andreas Ziegler
Robotic table tennis serves require high ball velocity and spin while respecting the robot's kinodynamic limits. Unlike rally strokes, a valid serve must also bounce on the server'…
BiasBench: A reproducible benchmark for tuning the biases of event cameras
Andreas Ziegler, David Joseph, Thomas Gossard +2
Event-based cameras are bio-inspired sensors that detect light changes asynchronously for each pixel. They are increasingly used in fields like computer vision and robotics because…
TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
Nima Rahmanian, Daniel Kienzle, Thomas Gossard +3
We present TT4D, a large-scale, high-fidelity table tennis dataset. It provides hours of reconstructed singles and doubles gameplay from monocular broadcast videos, featurin…
Learning Racket-Ball Bounce Dynamics Across Diverse Rubbers for Robotic Table Tennis
Thomas Gossard
Accurate dynamic models for racket-ball bounces are essential for reliable control in robotic table tennis. Existing models typically assume simple linear models and are restricted…
BlurBall: Joint Ball and Motion Blur Estimation for Table Tennis Ball Tracking
Thomas Gossard, Filip Radovic, Andreas Ziegler +1
Motion blur reduces the clarity of fast-moving objects, posing challenges for detection systems, especially in racket sports, where balls often appear as streaks rather than distin…
Sound-Based Spin Estimation in Table Tennis: Dataset and Real-Time Classification Pipeline
Thomas Gossard, Julian Schmalzl, Andreas Ziegler +1
Sound can complement vision in ball sports by providing subtle cues about contact dynamics. In table tennis, the brief, high-frequency sounds produced during racket-ball impacts ca…