Trajectory generation based on a steady-state genetic algorithm for imitative learning of a partner robot

Naoyuki Kubota, Toshiyuki Shimizu. Trajectory generation based on a steady-state genetic algorithm for imitative learning of a partner robot. In Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore. pages 1497-1502, IEEE, 2007. [doi]

@inproceedings{KubotaS07:0,
  title = {Trajectory generation based on a steady-state genetic algorithm for imitative learning of a partner robot},
  author = {Naoyuki Kubota and Toshiyuki Shimizu},
  year = {2007},
  doi = {10.1109/CEC.2007.4424649},
  url = {http://dx.doi.org/10.1109/CEC.2007.4424649},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/KubotaS07%3A0},
  cites = {0},
  citedby = {0},
  pages = {1497-1502},
  booktitle = {Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2007, 25-28 September 2007, Singapore},
  publisher = {IEEE},
}