2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2023★ 2 cited
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma +3
In this paper, we present a method for table tennis ball trajectory filtering and prediction. Our gray-box approach builds on a physical model. At the same time, we use data to lea…
cs.CV2023
Learning-based Relational Object Matching Across Views
Cathrin Elich, Iro Armeni, Martin R. Oswald +2
Intelligent robots require object-level scene understanding to reason about possible tasks and interactions with the environment. Moreover, many perception tasks such as scene reco…