Show simple item record Ampatzis, Christos Tuci, Elio Trianni, Vito Christensen, Anders Lyhne Dorigo, Marco 2010-09-07T16:24:49Z 2010-09-07T16:24:49Z 2009-10-01
dc.identifier.citation Ampatzis , C , Tuci , E , Trianni , V , Christensen , A L & Dorigo , M 2009 , ' Evolving Self-Assembly in Autonomous Homogeneous Robots : Experiments with Two Physical Robots ' Artificial Life , vol 15 , no. 4 , pp. 465-484 . DOI: 10.1162/artl.2009.Ampatzis.013 en
dc.identifier.issn 1064-5462
dc.identifier.other PURE: 150616
dc.identifier.other PURE UUID: a368f450-9f47-4eda-8277-e197d628c688
dc.identifier.other dspace: 2160/5405
dc.identifier.other DSpace_20121128.csv: row: 3639
dc.identifier.other RAD: 9515
dc.identifier.other RAD_Outputs_All_ID_Import_20121105.csv: row: 2953
dc.identifier.other Scopus: 70349766430
dc.identifier.uri en
dc.description Ampatzis C., Tuci E., Trianni V., Christensen A. L., Dorigo M., Evolving Self-Assembly in Autonomous Homogeneous Robots: Experiments with Two Physical Robots. Artificial Life Journal, Vol. 15, No 4, pp 465-484, 2009. en
dc.description.abstract This research work illustrates an approach to the design of controllers for self-assembling robots in which the self-assembly is initiated and regulated by perceptual cues that are brought forth by the physical robots through their dynamical interactions. More specifically, we present a homogeneous control system that can achieve assembly between two modules (two fully autonomous robots) of a mobile self-reconfigurable system without a priori introduced behavioral or morphological heterogeneities. The controllers are dynamic neural networks evolved in simulation that directly control all the actuators of the two robots. The neurocontrollers cause the dynamic specialization of the robots by allocating roles between them based solely on their interaction. We show that the best evolved controller proves to be successful when tested on a real hardware platform, the swarm-bot. The performance achieved is similar to the one achieved by existing modular or behavior-based approaches, also due to the effect of an emergent recovery mechanism that was neither explicitly rewarded by the fitness function, nor observed during the evolutionary simulation. Our results suggest that direct access to the orientations or intentions of the other agents is not a necessary condition for robot coordination: Our robots coordinate without direct or explicit communication, contrary to what is assumed by most research works in collective robotics. This work also contributes to strengthening the evidence that evolutionary robotics is a design methodology that can tackle real-world tasks demanding fine sensory-motor coordination. en
dc.format.extent 20 en
dc.language.iso eng
dc.relation.ispartof Artificial Life en
dc.rights en
dc.title Evolving Self-Assembly in Autonomous Homogeneous Robots : Experiments with Two Physical Robots en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.contributor.institution Intelligent Robotics Group en
dc.contributor.institution Department of Computer Science en
dc.description.status Peer reviewed en

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