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, Dieter Büchler, Michael Muehlebach, Joerg Stueckler. Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts. In Nikolai Matni, Manfred Morari, George J. Pappas, editors, Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. Volume 211 of Proceedings of Machine Learning Research, pages 878-890, PMLR, 2023. [doi]

@inproceedings{AchterholdTMBMS23,
  title = {Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts},
  author = {Jan Achterhold and Philip Tobuschat and Hao Ma and Dieter Büchler and Michael Muehlebach and Joerg Stueckler},
  year = {2023},
  url = {https://proceedings.mlr.press/v211/achterhold23a.html},
  researchr = {https://researchr.org/publication/AchterholdTMBMS23},
  cites = {0},
  citedby = {0},
  pages = {878-890},
  booktitle = {Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA},
  editor = {Nikolai Matni and Manfred Morari and George J. Pappas},
  volume = {211},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}