Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Autonomous Robots
Ant Colony Optimization
Fundamentals of Computational Swarm Intelligence
Fundamentals of Computational Swarm Intelligence
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Collective perception in a robot swarm
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
From solitary to collective behaviours: decision making and cooperation
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Efficient multi-foraging in swarm robotics
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Negotiation of goal direction for cooperative transport
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Edge detection using ant colony search algorithm and multiscale contrast enhancement
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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This work gives an overview of the broad field of computational swarm intelligence and its applications in swarm robotics. Computational swarm intelligence is modelled on the social behavior of animals and its principle application is as an optimization technique. Swarm robotics is a relatively new and rapidly developing field which draws inspiration from swarm intelligence. It is an interesting alternative to classical approaches to robotics because of some properties of problem solving present in social insects, which is flexible, robust, decentralized and self-organized. This work highlights the possibilities for further research.