Art gallery theorems and algorithms
Art gallery theorems and algorithms
Communication in reactive multiagent robotic systems
Autonomous Robots
The handbook of brain theory and neural networks
Robot navigation in very cluttered environments by preference-based fuzzy behaviors
Robotics and Autonomous Systems
Classifying the multi robot path finding problem into a quadratic competitive complexity class
Annals of Mathematics and Artificial Intelligence
An approach for collaborative path planning in multi-robot systems
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Proceedings of the 2010 ACM Symposium on Applied Computing
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Whenever a mobile robot has to deal with an environment that is totally or partially unknown or dynamically changing, local navigation strategies are very important for the robot to successfully achieve its goals. Unfortunately, local navigation algorithms that have been proposed in the literature offer poor performance (or even fail) whenever the geometry of the free space in which the robot is requested to operate increases its complexity. In this paper, we deal with a team composed of many robots, and we show how robots navigating within an unknown environment with local communication capabilities (only line-of-sight communication is allowed) can cooperate by helping each other to achieve their own goals.