LEADER 05215nam 22008055 450 001 9910484540303321 005 20230221003355.0 010 $a1-280-95679-8 010 $a9786610956791 010 $a3-540-71541-X 024 7 $a10.1007/978-3-540-71541-2 035 $a(CKB)1000000000491013 035 $a(EBL)3061653 035 $a(SSID)ssj0000310874 035 $a(PQKBManifestationID)11264595 035 $a(PQKBTitleCode)TC0000310874 035 $a(PQKBWorkID)10315575 035 $a(PQKB)11259035 035 $a(DE-He213)978-3-540-71541-2 035 $a(MiAaPQ)EBC3061653 035 $a(MiAaPQ)EBC6511707 035 $a(Au-PeEL)EBL6511707 035 $a(OCoLC)191468233 035 $a(PPN)123727073 035 $a(EXLCZ)991000000000491013 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSwarm Robotics $eSecond SAB 2006 International Workshop, Rome, Italy, September 30-October 1, 2006 Revised Selected Papers /$fedited by Erol Sahin, William M. Spears, Alan F.T. Winfield 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (231 p.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4433 300 $aIncludes index. 311 $a3-540-71540-1 320 $aIncludes bibliographical references and index. 327 $aA Navigation Algorithm for Swarm Robotics Inspired by Slime Mold Aggregation -- Strategies for Energy Optimisation in a Swarm of Foraging Robots -- A Macroscopic Model for Self-organized Aggregation in Swarm Robotic Systems -- An Analytical and Spatial Model of Foraging in a Swarm of Robots -- Algorithms for the Analysis and Synthesis of a Bio-inspired Swarm Robotic System -- Coordination and Control of Multi-agent Dynamic Systems: Models and Approaches -- Communication in a Swarm of Miniature Robots: The e-Puck as an Educational Tool for Swarm Robotics -- UltraSwarm: A Further Step Towards a Flock of Miniature Helicopters -- Where Are You? -- Collective Perception in a Robot Swarm -- Distributed Task Selection in Multi-agent Based Swarms Using Heuristic Strategies -- Evolution of Signalling in a Group of Robots Controlled by Dynamic Neural Networks -- Collective Specialization for Evolutionary Design of a Multi-robot System -- Scalability in Evolved Neurocontrollers That Guide a Swarm of Robots in a Navigation Task. 330 $aSwarm robotics is the study of how large numbers of relatively simple physically embodied agentscanbe designedsuchthat a desiredcollectivebehavioremerges from the local interactions among agents and between the agents and the en- ronment. Swarm robotics has emerged as a novel approach to the coordination of large numbers of robots and is inspired from observation of social insects ? ants, termites, wasps and bees ? which stand as fascinating examples of how a large number of simple individuals can interact to create collectively intelligent systems. Socialinsects areknownto coordinatetheir actionsto accomplishtasks that are far beyond the capabilities of a single individual: termites build large and complex mounds, army ants organize impressive foraging raids, ants can collectively carry large prey. Such coordination capabilities are still well beyond the reach of current multi-robot systems. Researchon swarmroboticshasseen a signi?cantincreasein the last 5 years. A number of successful swarm robotic systems have now been demonstrated in the laboratory and the study of the design, modelling, implementation and analysis of swarm robotic systems has become a hot topic of research. This workshop was organized within SAB 2006, as a sequel to the successful ?rst swarmroboticsworkshopin2004,withtheaimofreviewingandupdatingrecent advances on the topic. We received 21 full papers (20 research + 1 review) and accepted 14 (13 research + 1 review). Overall, we, as organizers, were pleased with the number of submissions, and a number of our reviewers explicitly commented on the generally high quality of the papers. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v4433 606 $aComputer science 606 $aArtificial intelligence 606 $aComputer networks 606 $aAlgorithms 606 $aTheory of Computation 606 $aArtificial Intelligence 606 $aComputer Communication Networks 606 $aAlgorithms 615 0$aComputer science. 615 0$aArtificial intelligence. 615 0$aComputer networks. 615 0$aAlgorithms. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aAlgorithms. 676 $a629.892 702 $aSpears$b William M.$f1962- 702 $aS?ahin$b Erol 702 $aWinfield$b A. F. T.$f1956- 712 12$aInternational Workshop on Swarm Robotics 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484540303321 996 $aSwarm Robotics$9771975 997 $aUNINA