16 citations · 18 across the 14 of their papers we have counts for
14 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'…
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…
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…
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…
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…
Table tennis ball spin estimation with an event camera
Thomas Gossard, Julian Krismer, Andreas Ziegler +2
Spin plays a pivotal role in ball-based sports. Estimating spin becomes a key skill due to its impact on the ball's trajectory and bouncing behavior. Spin cannot be observed direct…
Detection of Fast-Moving Objects with Neuromorphic Hardware
Andreas Ziegler, Karl Vetter, Thomas Gossard +3
Neuromorphic Computing (NC) and Spiking Neural Networks (SNNs) in particular are often viewed as the next generation of Neural Networks (NNs). NC is a novel bio-inspired paradigm f…
A multi-modal table tennis robot system
Andreas Ziegler, Thomas Gossard, Karl Vetter +2
In recent years, robotic table tennis has become a popular research challenge for perception and robot control. Here, we present an improved table tennis robot system with high acc…
eWand: A calibration framework for wide baseline frame-based and event-based camera systems
Thomas Gossard, Andreas Ziegler, Levin Kolmar +2
Accurate calibration is crucial for using multiple cameras to triangulate the position of objects precisely. However, it is also a time-consuming process that needs to be repeated…
SpinDOE: A ball spin estimation method for table tennis robot
Thomas Gossard, Jonas Tebbe, Andreas Ziegler +1
Spin plays a considerable role in table tennis, making a shot's trajectory harder to read and predict. However, the spin is challenging to measure because of the ball's high veloci…
Real-time event simulation with frame-based cameras
Andreas Ziegler, Daniel Teigland, Jonas Tebbe +2
Event cameras are becoming increasingly popular in robotics and computer vision due to their beneficial properties, e.g., high temporal resolution, high bandwidth, almost no motion…