Cooperative Mobile Robotics: Antecedents and Directions
Autonomous Robots
Probabilistic Finite-State Machines-Part I
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiagent traffic management: an improved intersection control mechanism
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
ACM SIGGRAPH 2006 Papers
Traffic control for a swarm of robots: avoiding group conflicts
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Communication in a swarm of miniature robots: the e-Puck as an educational tool for swarm robotics
SAB'06 Proceedings of the 2nd international conference on Swarm robotics
Traffic control for a swarm of robots: avoiding group conflicts
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
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One of the main problems in the navigation of robotic swarms is when several robots try to reach the same target at the same time, causing congestion situations that may compromise performance. In this paper, we propose a distributed coordination algorithm to alleviate this type of congestion. Using local sensing and communication, and controlling their actions using a probabilistic finite state machine, robots are able to coordinate themselves to avoid these situations. Simulations and real experiments were executed to study the performance and effectiveness of the proposed algorithm. Results show that the algorithm allows the swarm to have a more efficient and smoother navigation and is suitable for large groups of robots.