Towards Opportunistic Action Selection in Human-Robot Cooperation

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6359)


A 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.


Action Selection Opportunistic Behavior Plan Execution Reactive Plan Virtual Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Intelligent Autonomous Systems Group, Department of InformaticsTechnische Universität MünchenGermany

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