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137332 |
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|a dc
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|a Shah, Ankit Jayesh
|e author
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|a Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
|e contributor
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|a Shah, Julie A
|e author
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|a Interactive Robot Training for Temporal Tasks
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|b Association for Computing Machinery (ACM),
|c 2021-11-04T14:43:51Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/137332
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|a © 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?
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|a Article
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|t ACM/IEEE International Conference on Human-Robot Interaction
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