Affordance Action Learning with State Trajectory Representation for Robotic Manipulation

Zijia Li, Kei Okada, Masayuki Inaba. Affordance Action Learning with State Trajectory Representation for Robotic Manipulation. In 19th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2019, Toronto, ON, Canada, October 15-17, 2019. pages 607-613, IEEE, 2019. [doi]

@inproceedings{LiOI19,
  title = {Affordance Action Learning with State Trajectory Representation for Robotic Manipulation},
  author = {Zijia Li and Kei Okada and Masayuki Inaba},
  year = {2019},
  doi = {10.1109/Humanoids43949.2019.9035080},
  url = {https://doi.org/10.1109/Humanoids43949.2019.9035080},
  researchr = {https://researchr.org/publication/LiOI19},
  cites = {0},
  citedby = {0},
  pages = {607-613},
  booktitle = {19th IEEE-RAS International Conference on Humanoid Robots, Humanoids 2019, Toronto, ON, Canada, October 15-17, 2019},
  publisher = {IEEE},
}