PRISM: Probabilistic Real-Time Inference in Spatial World Models

Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer. PRISM: Probabilistic Real-Time Inference in Spatial World Models. In Karen Liu, Dana Kulic, Jeffrey Ichnowski, editors, Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand. Volume 205 of Proceedings of Machine Learning Research, pages 161-174, PMLR, 2022. [doi]

@inproceedings{MirchevKASCB22,
  title = {PRISM: Probabilistic Real-Time Inference in Spatial World Models},
  author = {Atanas Mirchev and Baris Kayalibay and Ahmed Agha and Patrick van der Smagt and Daniel Cremers and Justin Bayer},
  year = {2022},
  url = {https://proceedings.mlr.press/v205/mirchev23a.html},
  researchr = {https://researchr.org/publication/MirchevKASCB22},
  cites = {0},
  citedby = {0},
  pages = {161-174},
  booktitle = {Conference on Robot Learning, CoRL 2022, 14-18 December 2022, Auckland, New Zealand},
  editor = {Karen Liu and Dana Kulic and Jeffrey Ichnowski},
  volume = {205},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}