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Robust and Reusable Methods for Shepherding and Visibility-Based Pursuit

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dc.contributor.advisor Lien, Jyh-Ming
dc.contributor.author Vo, Christopher Alexander
dc.creator Vo, Christopher Alexander en_US
dc.date.accessioned 2015-02-12T02:59:56Z
dc.date.available 2015-02-12T02:59:56Z
dc.date.issued 2014 en_US
dc.identifier.uri https://hdl.handle.net/1920/9198
dc.description.abstract Algorithms for the control and monitoring of swarms of moving agents are important in a wide variety of real and virtual applications such as crowd control, livestock herding, and decentralized robot control architecture. In the presence of obstacles, these applications can be quite difficult, especially with large swarms. This thesis presents reusable and robust motion planning algorithms for the swarm control problem of shepherding, a task involving using a small set of mobile robots interact with a larger set of swarm agents; and the swarm monitoring problem of visibility-based pursuit, a task involving using a mobile robot to follow and maintain visibility of a moving swarm. For both problems, we developed algorithms to efficiently sample reusable geometric information in the environment to enable fast online planning and replanning. For the shepherding problem, we discuss several representations and abstractions for flocks to improve scalability and robustness to uncertainty. For the visibility-based pursuit problem, we discuss several methods for space decomposition that enable fast online planning to achieve visibility objectives. We validate our results with multi-agent simulation software to understand the tradeoffs between different techniques for these problems.
dc.format.extent 117 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Christopher Alexander Vo en_US
dc.subject Computer science en_US
dc.subject Computational Geometry en_US
dc.subject Motion Planning en_US
dc.subject Multi-agent Systems en_US
dc.subject Shepherding en_US
dc.subject Simulation en_US
dc.subject Visibility-Based Pursuit en_US
dc.title Robust and Reusable Methods for Shepherding and Visibility-Based Pursuit en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Computer Science en
thesis.degree.grantor George Mason University en


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