Show simple item record Gutierrez, Alvaro Tuci, Elio Campo, Alexandre 2010-09-07T16:22:58Z 2010-09-07T16:22:58Z 2009-03-01
dc.identifier.citation Gutierrez , A , Tuci , E & Campo , A 2009 , ' Evolution of Neuro-Controllers for Robots' Alignment using Local Communication ' International Journal of Advanced Robotic Systems , vol 6 , no. 1 , pp. 25-34 . DOI: 10.5772/6766 en
dc.identifier.issn 1729-8806
dc.identifier.other PURE: 150589
dc.identifier.other PURE UUID: 37e1b313-525d-4fe2-86eb-ab978c1a459a
dc.identifier.other dspace: 2160/5404
dc.identifier.other DSpace_20121128.csv: row: 3638
dc.identifier.other RAD: 9516
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 2954
dc.identifier.other Scopus: 67949118645
dc.description Gutiérrez A., Tuci E., Campo A. Evolution of Neuro-Controllers for Robots' Alignment using Local Communication. International Journal of Advanced Robotic Systems, Vol. 6, No. 1, pp 25-34, March 2009. en
dc.description.abstract In this paper, we use artificial evolution to design homogeneous neural network controller for groups of robots required to align. Aligning refers to the process by which the robots managed to head towards a common arbitrary and autonomously chosen direction starting from initial randomly chosen orientations. The cooperative interactions among robots require local communications that are physically implemented using infrared signalling. We study the performance of the evolved controllers, both in simulation and in reality for different group sizes. In addition, we analyze the most successful communication strategy developed using artificial evolution. en
dc.format.extent 10 en
dc.language.iso eng
dc.relation.ispartof International Journal of Advanced Robotic Systems en
dc.rights en
dc.title Evolution of Neuro-Controllers for Robots' Alignment using Local Communication en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Peer reviewed en

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