Title :
Using human approach paths to improve social navigation
Author :
Avrunin, Eleanor ; Simmons, Rod
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
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;
Conference_Titel :
Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4673-3099-2
Electronic_ISBN :
2167-2121
DOI :
10.1109/HRI.2013.6483507