Challenges in collaborative scheduling of human-robot teams
Name
Gombolay_AAAI_FSS_AI-HRI_2014.pdf
Size
2.96 MB
Format
Adobe PDF
Checksum (MD5)
f3022ff61cc90545be4e3780f2a0b5a1
Author(s) •
Gombolay, Matthew C.
Shah, Julie A
Date Issued
November 2014
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
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.
MIT Department
Lincoln Laboratory
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/