Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Swarm intelligence
Autonomous Robots
Self-Organization in Biological Systems
Self-Organization in Biological Systems
The I-SWARM project: intelligent small world autonomous robots for micro-manipulation
SAB'04 Proceedings of the 2004 international conference on Swarm Robotics
Get in touch: cooperative decision making based on robot-to-robot collisions
Autonomous Agents and Multi-Agent Systems
A Triangular Formation Strategy for Collective Behaviors of Robot Swarm
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Swarm intelligence and its applications in swarm robotics
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
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In swarm robotics, hundreds or thousands of robots have to reach a common goal autonomously. Usually, the robots are small and their abilities are very limited. The autonomy of the robots requires that the robots' behaviors are purely based on their local perceptions, which are usually rather limited. If the robot swarm is able to join multiple instances of individual perceptions to one big global picture (e.g. to collectively construct a sort of map), then the swarm can perform efficiently and such a swarm can target complex tasks. We here present two approaches to realize 'collective perception' in a robot swarm. Both require only limited abilities in communication and in calculation. We compare these strategies in different environments and evaluate the swarm's performance in simulations of fluctuating environmental conditions and with varying parameter settings.