Open AccessTowards Opportunistic Action Selection in Human-Robot Cooperation
Author(s) -
Thibault Kruse,
Alexandra Kirsch
Publication year - 2010
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-642-16110-3
DOI - 10.1007/978-3-642-16111-7_43
Subject(s) - computer science , robot , exploit , human–computer interaction , task (project management) , context (archaeology) , action (physics) , action selection , selection (genetic algorithm) , artificial intelligence , human–robot interaction , behavior based robotics , mobile robot , computer security , engineering , psychology , systems engineering , paleontology , physics , perception , biology , neuroscience , quantum mechanics
International audienceA robot that is to assist humans in everyday activities should not only be efficient, but also choose actions that are understandable for a person. One characteristic of human task achievement is to recognize and exploit opportunities as they appear in dynamically changing environments. In this paper we explore opportunistic behavior for robots in the context of pick and place tasks with human interaction. As a proof of concept we prototypically embed an opportunistic robot control program, showing that the robot exhibits opportunistic behavior using spatial knowledge, and we validated the feasibility of cooperation in a simulator experiment
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