Using Bayesian Optimization to Identify Optimal Exoskeleton Parameters Targeting Propulsion Mechanics: A Simulation Study

GilHwan Kim, Fabrizio Sergi. Using Bayesian Optimization to Identify Optimal Exoskeleton Parameters Targeting Propulsion Mechanics: A Simulation Study. In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021. pages 6225-6231, IEEE, 2021. [doi]

@inproceedings{KimS21-17,
  title = {Using Bayesian Optimization to Identify Optimal Exoskeleton Parameters Targeting Propulsion Mechanics: A Simulation Study},
  author = {GilHwan Kim and Fabrizio Sergi},
  year = {2021},
  doi = {10.1109/IROS51168.2021.9635982},
  url = {https://doi.org/10.1109/IROS51168.2021.9635982},
  researchr = {https://researchr.org/publication/KimS21-17},
  cites = {0},
  citedby = {0},
  pages = {6225-6231},
  booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2021, Prague, Czech Republic, September 27 - Oct. 1, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-1714-3},
}