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|a 9783540715412
|9 978-3-540-71541-2
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|a 10.1007/978-3-540-71541-2
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|a COM037000
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|a 004.0151
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|a Swarm Robotics
|h [electronic resource] :
|b Second International Workshop, SAB 2006, Rome, Italy, September 30-October 1, 2006, Revised Selected Papers /
|c edited by Erol Şahin, William M. Spears, Alan F. T. Winfield.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2007.
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|a XII, 228 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 4433
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|a A 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.
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|a Swarm 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.
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|a Computer science.
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|a Computer communication systems.
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|a Computers.
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|a Algorithms.
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|a Artificial intelligence.
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|a Computer Science.
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|a Computation by Abstract Devices.
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|a Artificial Intelligence (incl. Robotics).
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|a Computer Communication Networks.
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|a Algorithm Analysis and Problem Complexity.
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|a Şahin, Erol.
|e editor.
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|a Spears, William M.
|e editor.
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|a Winfield, Alan F. T.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783540715405
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|a Lecture Notes in Computer Science,
|x 0302-9743 ;
|v 4433
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|u http://dx.doi.org/10.1007/978-3-540-71541-2
|z Full Text via HEAL-Link
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|a ZDB-2-SCS
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|a ZDB-2-LNC
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|a Computer Science (Springer-11645)
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