Monte Carlo localization: efficient position estimation for mobile robots
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Theoretical Analysis of the Multi-agent Patrolling Problem
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Fuzzy behavioral control for multi-robot border patrol
MED '09 Proceedings of the 2009 17th Mediterranean Conference on Control and Automation
Behavioral control for multi-robot perimeter patrol: a finite state automata approach
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Kinematic Control of Platoons of Autonomous Vehicles
IEEE Transactions on Robotics
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The use of large scale multi-robot systems is motivated by a number of desirable features, such as scalability, fault tolerance, robustness and lower cost with respect to more complex and specialized agents. This work is focused on a a behavior-based approach to the problem of the multi-robot border patrolling, in the framework of the Null-Space-based Behavioral control (NSB); it is based on two previous works of the same authors, where the feasibility of the approach is demonstrated. Namely, a few aspects of the approach, not yet tackled in previous works, are investigated: its robustness to faults of individual agents, its capability of managing large numbers of robots, the possibility of adding new tasks in the framework of the multi-robot patrolling problem. Along these directions, our approach has been validated in simulation with a large number of robots and sudden faults as well as experimentally on a team composed by three Pioneers 2-DX robots.