Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression

Alexander H. Chang, Christian M. Hubicki, Jeff J. Aguilar, Daniel I. Goldman, Aaron D. Ames, Patricio A. Vela. Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression. In 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017. pages 2154-2160, IEEE, 2017. [doi]

@inproceedings{ChangHAGAV17,
  title = {Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression},
  author = {Alexander H. Chang and Christian M. Hubicki and Jeff J. Aguilar and Daniel I. Goldman and Aaron D. Ames and Patricio A. Vela},
  year = {2017},
  doi = {10.1109/ICRA.2017.7989248},
  url = {https://doi.org/10.1109/ICRA.2017.7989248},
  researchr = {https://researchr.org/publication/ChangHAGAV17},
  cites = {0},
  citedby = {0},
  pages = {2154-2160},
  booktitle = {2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-4633-1},
}