DocumentCode
1636014
Title
Using human approach paths to improve social navigation
Author
Avrunin, Eleanor ; Simmons, Rod
Author_Institution
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear
2013
Firstpage
73
Lastpage
74
Abstract
Here we have presented a small study collecting human social navigation data, and a method for adding an approximation of human social rules for approaching others to a robot´s autonomous navigation by using a model of those data. For a robot to adhere to those social rules when it moves through human environments would make its navigation more predictable and familiar to humans, who have years of experience with other human agents following those rules, thus potentially improving their acceptance of the robot´s presence.
Keywords
approximation theory; human-robot interaction; mobile robots; path planning; social aspects of automation; data model; human agents; human approach paths; human social navigation data collection; human social rules approximation; robot autonomous navigation; social navigation improvement; Data models; Educational institutions; Electronic mail; Magnetic heads; Navigation; Robots; Torso; human-robot interaction; navigation; proxemics; social navigation;
fLanguage
English
Publisher
ieee
Conference_Titel
Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
Conference_Location
Tokyo
ISSN
2167-2121
Print_ISBN
978-1-4673-3099-2
Electronic_ISBN
2167-2121
Type
conf
DOI
10.1109/HRI.2013.6483507
Filename
6483507
Link To Document