Name
Abstract | ||
|---|---|---|
In this paper we address the question how a human would expect a robot to move when a human is crossing its way. In particular we consider the problem that physical capabilities of robots differ from humans. In order to find out how humans expect a robot, with non humanlike capabilities, to move we designed and conducted a study were the participants steer the robot. We identified four motion patterns and our results show that driving straight towards the goal and stoping when a human might collide with the robot is the favored motion pattern.
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Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/HRI.2013.6483561 | Human-Robot Interaction |
Keywords | Field | DocType |
human-robot interaction,mobile robots,navigation,path planning,position control,telerobotics,motion pattern,nonhumanlike capability,path crossing scenario,physical capability,robot navigation pattern,robot steering | Robot learning,Social robot,Computer science,Personal robot,Human–computer interaction,Artificial intelligence,Ubiquitous robot,Robot control,Computer vision,Simulation,Mobile robot navigation,Mobile robot,Articulated robot | Conference |
ISSN | ISBN | Citations |
2167-2121 E-ISBN : 978-1-4673-3100-5 | 978-1-4673-3100-5 | 2 |
PageRank | References | Authors |
0.38 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christina Lichtenthäeler | 1 | 2 | 0.38 |
| Annika Peters | 2 | 27 | 2.15 |
| Sascha Griffiths | 3 | 19 | 3.98 |
| Alexandra Kirsch | 4 | 194 | 14.03 |