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Subject: Random walks Supervisors: Müller, Martin (Computing Science)

  • Motion Planning with Monte Carlo Random Walks

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    Spring 2016

    Chen, Weifeng

    This thesis applies the Monte Carlo Random Walk method (MRW) to motion planning. We explore different global and local restart strategies to improve the performance. Several new algorithms based on the MRW approach, such as bidirectional Arvand and optimizing planner Arvand*, are introduced and...

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