DocumentCode :
567231
Title :
Predictability or adaptivity? Designing robot handoffs modeled from trained dogs and people
Author :
Lee, Min Kyung ; Forlizzi, Jodi ; Kiesler, Sara ; Cakmak, Maya ; Srinivasa, Siddhartha
Author_Institution :
Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2011
fDate :
8-11 March 2011
Firstpage :
179
Lastpage :
180
Abstract :
One goal of assistive robotics is to design interactive robots that can help disabled people with tasks such as fetching objects. When people do this task, they coordinate their movements closely with receivers. We investigated how a robot should fetch and give household objects to a person. To develop a model for the robot, we first studied trained dogs and person-to-person handoffs. Our findings suggest two models of handoff that differ in their predictability and adaptivity.
Keywords :
handicapped aids; human-robot interaction; assistive robotics; designing robot handoffs; disabled people; household objects; human robot interaction; interactive robots; trained dogs; trained people; Adaptation models; Context; Dogs; Receivers; Robot kinematics; USA Councils; Retrieval; adaptive; coordination; hand-offs; predictability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Human-Robot Interaction (HRI), 2011 6th ACM/IEEE International Conference on
Conference_Location :
Lausanne
ISSN :
2167-2121
Print_ISBN :
978-1-4673-4393-0
Electronic_ISBN :
2167-2121
Type :
conf
Filename :
6281284
Link To Document :
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