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Distributed pursuit-evasion with limited-visibility sensors via frontier-based exploration

MPG-Autoren
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Franchi,  A
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Durham, J., Franchi, A., & Bullo, F. (2010). Distributed pursuit-evasion with limited-visibility sensors via frontier-based exploration. In 2010 IEEE International Conference on Robotics and Automation (ICRA 2010) (pp. 3562-3568). Piscataway, NJ, USA: IEEE.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-C03E-E
Zusammenfassung
This paper addresses a novel visibility-based pursuit-evasion problem in which a team of searchers with limited range sensors must coordinate to clear any evaders from an unknown planar environment.We present a distributed algorithm built around guaranteeing complete coverage of the frontier between cleared and contaminated areas while expanding the cleared area. Our frontier-based algorithm can guarantee detection of evaders in unknown, multiply-connected planar environments which may be non-polygonal. We also detail a method for storing and updating the global frontier between cleared and contaminated areas without building a global map or requiring global localization, which enables our algorithm to be truly distributed. We demonstrate the functionality of the algorithm through Player/Stage simulations.