To grip, or not to grip: Evolving coordination in autonomous robots

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dc.contributor.author Ampatzis, Christos
dc.contributor.author Santos, Francisco
dc.contributor.author Trianni, Vito
dc.contributor.author Tuci, Elio
dc.contributor.editor Kampis, George
dc.contributor.editor Karsai, István
dc.contributor.editor Szathmáry, Eörs
dc.date.accessioned 2010-09-07T16:56:59Z
dc.date.available 2010-09-07T16:56:59Z
dc.date.issued 2009
dc.identifier.citation Ampatzis , C , Santos , F , Trianni , V & Tuci , E 2009 , ' To grip, or not to grip: Evolving coordination in autonomous robots ' . in G Kampis , I Karsai & E Szathmáry (eds) , Advances in Artificial Life. Darwin Meets von Neumann : 10th European Conference, ECAL 2009, Budapest, Hungary, September 13-16, 2009, Revised Selected Papers, Part I . vol. 5777 , Lecture Notes in Computer Science , vol. 5777 , Springer Berlin Heidelberg , pp. 205-212 , 10th European Conference, ECAL , Budapest , Hungary , 13-16 September . , 10.1007/978-3-642-21283-3_26 en
dc.identifier.citation conference en
dc.identifier.isbn 978-3-642-21282-6
dc.identifier.isbn 978-3-642-21283-3
dc.identifier.issn 0302-9743
dc.identifier.other PURE: 1753659
dc.identifier.other dspace: 2160/5412
dc.identifier.uri http://hdl.handle.net/2160/5412
dc.description Ampatzis C., Santos F.C., Trianni V., Tuci E. To grip, or not to grip: Evolving coordination in autonomous robots. Proceedings of the 10th European Conference of Artificial Life (ECAL 2009), Vol. LNCS/LNAI 5777, 5778, Springer Verlag, 2009 en
dc.description.abstract In evolutionary robotics, as in the animal world, performing a task which is beneficial to the entire group demands the coordination of different individuals. Whenever time-dependent dynamic allocation of roles is needed and individual roles are not pre-defined, coordination can often be hard to achieve. In this paper, we study the evolution of role allocation and self-assembling strategies in a group of two homogeneous robots.We show how robot coordination and individual choices (who will grip whom) can be successfully restated in terms of anti-coordination problems, showing how conventional game theoretical tools can be used in the interpretation and design of evolutionary outcomes in collective robotics. Moreover, we highlight and discuss striking similarities between the way our physical robots allocate roles and the way animals solve conflicts. Arguably, these similarities suggest that evolutionary robotics may offer apart from automatic controller design for autonomous robots a viable alternative for the study of biological phenomena.;In evolutionary robotics, as in the animal world, performing a task which is beneficial to the entire group demands the coordination of different individuals. Whenever time-dependent dynamic allocation of roles is needed and individual roles are not pre-defined, coordination can often be hard to achieve. In this paper, we study the evolution of role allocation and self-assembling strategies in a group of two homogeneous robots.We show how robot coordination and individual choices (who will grip whom) can be successfully restated in terms of anti-coordination problems, showing how conventional game theoretical tools can be used in the interpretation and design of evolutionary outcomes in collective robotics. Moreover, we highlight and discuss striking similarities between the way our physical robots allocate roles and the way animals solve conflicts. Arguably, these similarities suggest that evolutionary robotics may offer apart from automatic controller design for autonomous robots a viable alternative for the study of biological phenomena. en
dc.language.iso eng
dc.publisher Springer Berlin Heidelberg
dc.relation.ispartof Advances in Artificial Life. Darwin Meets von Neumann en
dc.relation.ispartofseries Lecture Notes in Computer Science en
dc.subject anti-coordination game en
dc.subject evolutionary robotics en
dc.subject collective behavior en
dc.subject evolutionary game theory en
dc.title To grip, or not to grip: Evolving coordination in autonomous robots en
dc.type Text en
dc.type.publicationtype Conference proceeding en
dc.identifier.doi http://dx.doi.org/10.1007/978-3-642-21283-3_26
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en


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