Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects

Ce Xu Zheng, Adrià Colomé, Luis Sentis, Carme Torras. Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects. In Roya Firoozi, Negar Mehr, Esen Yel, Rika Antonova, Jeannette Bohg, Mac Schwager, Mykel J. Kochenderfer, editors, Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA. Volume 168 of Proceedings of Machine Learning Research, pages 415-426, PMLR, 2022. [doi]

@inproceedings{ZhengCST22,
  title = {Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable Objects},
  author = {Ce Xu Zheng and Adrià Colomé and Luis Sentis and Carme Torras},
  year = {2022},
  url = {https://proceedings.mlr.press/v168/zheng22a.html},
  researchr = {https://researchr.org/publication/ZhengCST22},
  cites = {0},
  citedby = {0},
  pages = {415-426},
  booktitle = {Learning for Dynamics and Control Conference, L4DC 2022, 23-24 June 2022, Stanford University, Stanford, CA, USA},
  editor = {Roya Firoozi and Negar Mehr and Esen Yel and Rika Antonova and Jeannette Bohg and Mac Schwager and Mykel J. Kochenderfer},
  volume = {168},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}