Anticipation as a Strategy: A Design Paradigm for Robotics

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dc.contributor.author Williams, Mary-Anne en_US
dc.contributor.author Gardenfors, Peter en_US
dc.contributor.author Johnston, Benjamin en_US
dc.contributor.author Wightwick, Glenn en_US
dc.contributor.editor Randy Goebel, Jerg Siekmann, Wolfgang Wahlster, Yaxin Bi and Mary-Anne Williams en_US
dc.date.accessioned 2012-02-02T11:07:20Z
dc.date.available 2012-02-02T11:07:20Z
dc.date.issued 2010 en_US
dc.identifier 2009007113 en_US
dc.identifier.citation Williams Mary-Anne et al. 2010, 'Anticipation as a Strategy: A Design Paradigm for Robotics', , Springer-Verlag Berlin Heidelberg, Germany, , pp. 341-353. en_US
dc.identifier.issn 0302-9743 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16171
dc.description.abstract Anticipation plays a crucial role during any action, particularly in agents operating in open, complex and dynamic environments. In this paper we consider the role of anticipation as a strategy from a design perspective. Anticipation is a crucial skill in sporting games like soccer, tennis and cricket. We explore the role of anticipation in robot soccer matches in the context of reaching the RoboCup vision to develop a robot soccer team capable of defeating the FIFA World Champions in 2050. Anticipation in soccer can be planned or emergent but whether planned or emergent, anticipation can be designed. Two key obstacles stand in the way of developing more anticipatory robot systems; an impoverished understanding of the a??anticipationa? process/capability and a lack of know-how in the design of anticipatory systems. Several teams at RoboCup have developed remarkable preemptive behaviors. The CMU Dive and UTS Dodge are two compelling examples. In this paper we take steps towards designing robots that can adopt anticipatory behaviors by proposing an innovative model of anticipation as a strategy that specifies the key characteristics of anticipation behaviors to be developed. The model can drive the design of autonomous systems by providing a means to explore and to represent anticipation requirements. Our approach is to analyze anticipation as a strategy and then to use the insights obtained to design a reference model that can be used to specify a set of anticipatory requirements for guiding an autonomous robot soccer system. en_US
dc.language en_US
dc.publisher Springer-Verlag Berlin Heidelberg en_US
dc.relation.isbasedon http://dx.doi.org/10.1007/978-3-642-15280-1_32 en_US
dc.title Anticipation as a Strategy: A Design Paradigm for Robotics en_US
dc.parent Lecture Notes in Artificial Intelligence 6291 - Knowledge Science, Engineering and Management en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Germany en_US
dc.identifier.startpage 341 en_US
dc.identifier.endpage 353 en_US
dc.cauo.name FEIT.School of Software en_US
dc.conference Verified OK en_US
dc.for 080100 en_US
dc.personcode 020389 en_US
dc.personcode 116475 en_US
dc.personcode 111097 en_US
dc.personcode 122468 en_US
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom Knowledge Science, Engineering and Management en_US
dc.date.activity 20100901 en_US
dc.location.activity Belfast, Northern Ireland en_US
dc.description.keywords Design - Strategy - Decision - Anticipation - Perception - Behavior en_US
dc.staffid 122468 en_US


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