Robust Monte Carlo localization for mobile robots
Artificial Intelligence
Navigating Mobile Robots: Systems and Techniques
Navigating Mobile Robots: Systems and Techniques
Brief paper: Cooperative control for target-capturing task based on a cyclic pursuit strategy
Automatica (Journal of IFAC)
An annotated bibliography on guaranteed graph searching
Theoretical Computer Science
The role of information in the cop-robber game
Theoretical Computer Science
Robot team coordination for target tracking using fuzzy logic controller in game theoretic framework
Robotics and Autonomous Systems
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Coordinated pursuer control using particle filters for autonomous search-and-capture
Robotics and Autonomous Systems
A framework for pursuit evasion games in Rn
Information Processing Letters
Autonomous Agents and Multi-Agent Systems
Search and pursuit-evasion in mobile robotics
Autonomous Robots
Randomized pursuit-evasion in a polygonal environment
IEEE Transactions on Robotics
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Research in multi-robot pursuit-evasion demonstrates that three pursuers are sufficient to capture an intruder in a polygonal environment. However, this result requires the confined of the initial location of the intruder within the convex hull of the locations of the pursuers. In this study, we extend this result to alleviate this convexity through the application of a set of virtual goals that are independent of the locations of the pursuers. These virtual goals are solely calculated using the location information of the intruder such that whose locations confine the intruder within their convex hull at every execution cycle. We propose two strategies to coordinate the pursuers. They are the agents votes maximization and the profile matrix permutations strategies. We consider the time, the energy expended, and the distance traveled by the pursuers as metrics to analyze the performance of these strategies in contrast to three different allocation strategies. They are the probabilistic, the leader-follower, and the prioritization coordination strategies.