DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model
Name
2202.03697.pdf
Description
Submitted version
Size
1.06 MB
Format
Adobe PDF
Checksum (MD5)
0afe408ac5d5247bafb0073913e36bc6
Author(s)
Gothoskar, Nishad
Lazaro-Gredilla, Miguel
Bekiroglu, Yasemin
Agarwal, Abhishek
Tenenbaum, Joshua B
Mansinghka, Vikash K
George, Dileep
Date Issued
2022
Journal
2022 International Conference on Robotics and Automation (ICRA)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Gothoskar, Nishad, Lazaro-Gredilla, Miguel, Bekiroglu, Yasemin, Agarwal, Abhishek, Tenenbaum, Joshua B et al. 2022. "DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model." 2022 International Conference on Robotics and Automation (ICRA).
Version
Original manuscript
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICRA46639.2022.9811607
