Alle Publikationen

Erweiterte Suche öffnen

Treffer: 1

2007
Gockley, R.; Forlizzi, J.; Simmons, R. (2007) : Natural person-following behavior for social robots: 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI): New York, NY, US: Association for Computing Machinery, S. 17-24

DOI: https://doi.org/10.1145/1228716.1228720

Abstract: We are developing robots with socially appropriate spatial skills not only to travel around or near people, but also to accompany people side-by-side. As a step toward this goal, we are investigating the social perceptions of a robot’s movement as it follows behind a person. This paper discusses our laser-based person-tracking method and two different approaches to person-following: direction-following and path-following. While both algorithms have similar characteristics in terms of tracking performance and following distances, participants in a pilot study rated the direction-following behavior as significantly more human-like and natural than the path-following behavior. We argue that the path-following method may still be more appropriate in some situations, and we propose that the ideal person-following behavior may be a hybrid approach, with the robot automatically selecting which method to use.

Keywords: Abstracts, Angemessen(heit) (von Technik), direction-following method, Hardware, human-robot interaction, ieee xplore, laser-based person-tracking method, Lasers, Mobile robots, natural person-following behavior, path-following method, person following, person tracking, person-following method, position control, Reliability, Robots, social robots, social sciences, spatial skills, speech

2007

poliTE