Interactive Robot Training for Temporal Tasks
Name
shah-2020-pioneers.pdf
Description
Accepted version
Size
2.42 MB
Format
Adobe PDF
Checksum (MD5)
69bd1c2475555e63026fb065ae581b20
Author(s)
Shah, Ankit Jayesh
Shah, Julie A
Date Issued
March 2020
Journal
ACM/IEEE International Conference on Human-Robot Interaction
Publisher
Association for Computing Machinery (ACM)
Citation
Shah, Ankit Jayesh and Shah, Julie A. 2020. "Interactive Robot Training for Temporal Tasks." ACM/IEEE International Conference on Human-Robot Interaction.
Version
Author's final manuscript
Abstract
© 2020 ACM. Imagine a future where a domestic robot ships with a state-of-theart learning from demonstrations (LfD) system to learn household tasks. You would like the robot to set the dinner-table for you when you get home at dinner time. After you demonstrate how to set the dinner table a couple of times. Would you be confident that robot will not try to place the saucer on top of the cup, or finish as much of the task as possible if an object was missing?
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3371382.3377437
