Challenges in collaborative scheduling of human-robot teams

Author(s)
Gombolay, Matthew C.; Shah, Julie A
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Abstract
We study the scheduling of human-robot teams where the hum an and robotic agents share decision-making authority over scheduling decisions. Our goal is to design AT scheduling techniques that account for how people make decisions under different control schema.
Date issued
2014-11
URI
http://hdl.handle.net/1721.1/116077
Department
Lincoln Laboratory; Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Journal
Artificial Intelligence for Human-Robot Interaction: Papers from the 2014 AAAI Fall Symposium
Publisher
Association for the Advancement of Artificial Intelligence
Citation
Gombolay, Matthew C. and Julie A. Shah. "Challenges in collaborative scheduling of human-robot teams." Artificial Intelligence for Human-Robot Interaction: Papers from the 2014 AAAI Fall Symposium, November 13–15 2014, Arlington, Virginia. Association for the Advancement of Artificial Intelligence, c2014, pp. 73-75.
Version: Author's final manuscript
ISBN
9781577356912
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