000 04913nam a22005895i 4500
001 978-3-540-71541-2
003 DE-He213
005 20240423125900.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540715412
_9978-3-540-71541-2
024 7 _a10.1007/978-3-540-71541-2
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aSwarm Robotics
_h[electronic resource] :
_bSecond SAB 2006 International Workshop, Rome, Italy, September 30-October 1, 2006 Revised Selected Papers /
_cedited by Erol Sahin, William M. Spears, Alan F.T. Winfield.
250 _a1st ed. 2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2007.
300 _aXII, 228 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4433
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aAlgorithms.
650 1 4 _aTheory of Computation.
650 2 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aAlgorithms.
700 1 _aSahin, Erol.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aSpears, William M.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWinfield, Alan F.T.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540715405
776 0 8 _iPrinted edition:
_z9783540836766
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v4433
856 4 0 _uhttps://doi.org/10.1007/978-3-540-71541-2
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cSPRINGER
999 _c182691
_d182691