Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques

Giacomo Golluccio, Daniele Di Vito, Alessandro Marino, Gianluca Antonelli. Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques. In 20th International Conference on Advanced Robotics, ICAR 2021, Ljubljana, Slovenia, December 6-10, 2021. pages 676-681, IEEE, 2021. [doi]

@inproceedings{GolluccioVMA21,
  title = {Robotic Weight-based Object Relocation in Clutter via Tree-based Q-learning Approach using Breadth and Depth Search Techniques},
  author = {Giacomo Golluccio and Daniele Di Vito and Alessandro Marino and Gianluca Antonelli},
  year = {2021},
  doi = {10.1109/ICAR53236.2021.9659471},
  url = {https://doi.org/10.1109/ICAR53236.2021.9659471},
  researchr = {https://researchr.org/publication/GolluccioVMA21},
  cites = {0},
  citedby = {0},
  pages = {676-681},
  booktitle = {20th International Conference on Advanced Robotics, ICAR 2021, Ljubljana, Slovenia, December 6-10, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-3684-7},
}