Embodied Vision Learning and Dynamical Systems Empirical Inference Conference Paper 2023

Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts

preprint code
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Embodied Vision
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Learning and Dynamical Systems
  • Doctoral Researcher
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Empirical Inference
Research Group Leader
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Learning and Dynamical Systems
Research Group Leader
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Embodied Vision
Max Planck Research Group Leader

Author(s): Achterhold, Jan and Tobuschat, Philip and Ma, Hao and Büchler, Dieter and Muehlebach, Michael and Stueckler, Joerg
Links:
Book Title: Conference on Learning for Dynamics and Control
Volume: 211
Pages: 878--890
Year: 2023
Month: June
Series: Proceedings of Machine Learning Research
Editors: Nikolai Matni, Manfred Morari and George J. Pappa
Publisher: PMLR
Project(s):
Bibtex Type: Conference Paper (inproceedings)
Event Place: Philadelphia, PA, USA
State: Published
URL: https://proceedings.mlr.press/v211/achterhold23a.html
Electronic Archiving: grant_archive

BibTex

@inproceedings{achterhold2023ballprediction,
  title = {Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts},
  booktitle = {Conference on Learning for Dynamics and Control},
  volume = {211},
  pages = {878--890},
  series = {Proceedings of Machine Learning Research},
  editors = {Nikolai Matni, Manfred Morari and George J. Pappa},
  publisher = {PMLR},
  month = jun,
  year = {2023},
  slug = {achterhold2023ballprediction},
  author = {Achterhold, Jan and Tobuschat, Philip and Ma, Hao and B{\"u}chler, Dieter and Muehlebach, Michael and Stueckler, Joerg},
  url = {https://proceedings.mlr.press/v211/achterhold23a.html},
  month_numeric = {6}
}