Compensating for Material Deformation in Foldable Robots via Deep Learning - A Case Study

Mohammad Sharifzadeh, Yuhao Jiang, Amir Salimi Lafmejani, Daniel M. Aukes. Compensating for Material Deformation in Foldable Robots via Deep Learning - A Case Study. In 2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022. pages 5184-5190, IEEE, 2022. [doi]

@inproceedings{SharifzadehJLA22,
  title = {Compensating for Material Deformation in Foldable Robots via Deep Learning - A Case Study},
  author = {Mohammad Sharifzadeh and Yuhao Jiang and Amir Salimi Lafmejani and Daniel M. Aukes},
  year = {2022},
  doi = {10.1109/ICRA46639.2022.9811752},
  url = {https://doi.org/10.1109/ICRA46639.2022.9811752},
  researchr = {https://researchr.org/publication/SharifzadehJLA22},
  cites = {0},
  citedby = {0},
  pages = {5184-5190},
  booktitle = {2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-9681-7},
}