Get in touch: cooperative decision making based on robot-to-robot collisions
Autonomous Agents and Multi-Agent Systems
Applying Semantic Web Service Composition for Action Planning in Multi-robot Systems
ICIW '09 Proceedings of the 2009 Fourth International Conference on Internet and Web Applications and Services
Towards group transport by swarms of robots
International Journal of Bio-Inspired Computation
Cooperative self-organization in a heterogeneous swarm robotic system
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Chain based path formation in swarms of robots
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Autonomous Self-Assembly in Swarm-Bots
IEEE Transactions on Robotics
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The field of swarm robotics breaks away from traditional research by maximizing the performance of a group - swarm - of limited robots instead of optimizing the intelligence of a single robot. Similar to current-generation strategy video games, the player controls groups of units - squads - instead of the individual participants. These individuals are rather unintelligent robots, capable of little more than navigating and using their weapons. However, clever control of the squads of autonomous robots by the game players can make for intense, strategic matches. The gaming framework presented in this article provides players with strategic coordination of robot squads. The developed swarm intelligence techniques break up complex squad commands into several commands for each robot using robot formations and path finding while avoiding obstacles. These algorithms are validated through a 'Capture the Flag' gaming scenario where a complex squad command is split up into several robot commands in a matter of milliseconds.