6 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…
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…
TT3D: Table Tennis 3D Reconstruction
Thomas Gossard, Andreas Ziegler, Andreas Zell
Sports analysis requires processing large amounts of data, which is time-consuming and costly. Advancements in neural networks have significantly alleviated this burden, enabling h…
An Event-Based Perception Pipeline for a Table Tennis Robot
Andreas Ziegler, Thomas Gossard, Arren Glover +1
Table tennis robots gained traction over the last years and have become a popular research challenge for control and perception algorithms. Fast and accurate ball detection is cruc…