Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards

Jeffrey Mahler, Florian T. Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James J. Kuffner, Ken Goldberg. Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards. In Danica Kragic, Antonio Bicchi, Alessandro De Luca 0001, editors, 2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016. pages 1957-1964, IEEE, 2016. [doi]

@inproceedings{MahlerPHRLAKKKG16,
  title = {Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards},
  author = {Jeffrey Mahler and Florian T. Pokorny and Brian Hou and Melrose Roderick and Michael Laskey and Mathieu Aubry and Kai Kohlhoff and Torsten Kröger and James J. Kuffner and Ken Goldberg},
  year = {2016},
  doi = {10.1109/ICRA.2016.7487342},
  url = {http://dx.doi.org/10.1109/ICRA.2016.7487342},
  researchr = {https://researchr.org/publication/MahlerPHRLAKKKG16},
  cites = {0},
  citedby = {0},
  pages = {1957-1964},
  booktitle = {2016 IEEE International Conference on Robotics and Automation, ICRA 2016, Stockholm, Sweden, May 16-21, 2016},
  editor = {Danica Kragic and Antonio Bicchi and Alessandro De Luca 0001},
  publisher = {IEEE},
  isbn = {978-1-4673-8026-3},
}