Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators

Nikolas Sacchi, Bianca Sangiovanni, Gian Paolo Incremona, Antonella Ferrara. Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators. In 60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021. pages 4388-4393, IEEE, 2021. [doi]

@inproceedings{SacchiSIF21-0,
  title = {Scenario-Based Collision Avoidance Control with Deep Q-Networks for Industrial Robot Manipulators},
  author = {Nikolas Sacchi and Bianca Sangiovanni and Gian Paolo Incremona and Antonella Ferrara},
  year = {2021},
  doi = {10.1109/CDC45484.2021.9683056},
  url = {https://doi.org/10.1109/CDC45484.2021.9683056},
  researchr = {https://researchr.org/publication/SacchiSIF21-0},
  cites = {0},
  citedby = {0},
  pages = {4388-4393},
  booktitle = {60th IEEE Conference on Decision and Control, CDC 2021, Austin, TX, USA, December 14-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3659-5},
}