Artificial Intelligence for Human-Robot Interaction: Papers from the AAAI Fall Symposium
Andrea L. Thomaz, Chad Jenkins, Sonia Chernova, Kris Hauser, Maja J. Mataric, Manuela Veloso, Cochairs
November 15–17, 2014, Arlington, Virginia
Technical Report FS-14-01
174 pp.
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ISBN 978-1-57735-691-2
Humans and human environments bring with them inherent uncertainty in dynamics, structure, and interaction. HRI aims to develop robots that are intelligent, autonomous, and capable of interacting with, modeling, and learning from humans. These goals are at the core of AI.
The field of HRI is a broad community encompassing robotics, AI, HCI, psychology and social science. In this meeting we aim to specifically bring together the subset of this community that are focused on the AI problems of HRI. Currently this type of HRI work is seen across such a variety of venues (HRI, RSS, ICRA, IROS, Ro-Man, RoboCup, and more), that we lack a cohesive core community. Building this community is the central purpose of this symposium.