kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion
Name
Gao20.pdf
Description
Accepted version
Size
2.71 MB
Format
Adobe PDF
Checksum (MD5)
792c969d0f66c10e92094dfee56fd099
Author(s)
Gao, Wei
Tedrake, Russ
Date Issued
2021
Journal
2021 IEEE International Conference on Robotics and Automation (ICRA)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Gao, Wei and Tedrake, Russ. 2021. "kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion." 2021 IEEE International Conference on Robotics and Automation (ICRA).
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICRA48506.2021.9561428
