This book constitutes the thoroughly refereed post-proceedings of the 2nd SAB 2006 International Workshop on Swarm Robotics held in Rome, Italy in September/October 2006 as a satellite event of SAB 2006, the 9th Conference on Simulation of Adaptive Behavior. The 14 revised full papers are organized in topical sections on algorithms, modeling and analysis, hardware, and evolutionary approaches.
|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.
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.
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.
Inhaltsverzeichnis
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.
Klappentext
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.
