DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model

Nishad Gothoskar, Miguel Lázaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George. DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 6674-6680, IEEE, 2022. [doi]

@inproceedings{GothoskarLBATMG22,
  title = {DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model},
  author = {Nishad Gothoskar and Miguel Lázaro-Gredilla and Yasemin Bekiroglu and Abhishek Agarwal and Joshua B. Tenenbaum and Vikash K. Mansinghka and Dileep George},
  year = {2022},
  doi = {10.1109/ICRA46639.2022.9811607},
  url = {https://doi.org/10.1109/ICRA46639.2022.9811607},
  researchr = {https://researchr.org/publication/GothoskarLBATMG22},
  cites = {0},
  citedby = {0},
  pages = {6674-6680},
  booktitle = {2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-9681-7},
}