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Sampling-based Motion Planning in Theory and Practice Wolfgang A. Pointner1 June 4, [removed]W.
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Document Date: 2013-07-10 06:16:25

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File Size: 4,57 MB

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City

Linz / Sampling / /

Company

Composites Laboratory / 8D / /

Country

Austria / United States / /

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Facility

Open Motion Planning Library / Stanford University / Johannes Kepler University / /

IndustryTerm

motion planning algorithms / feasible solution / software systems design / motion planning algorithm / skin-like sensor network / hybrid systems / optimum solution / /

Organization

Department of Aeronautics / Federal State Government / Stanford University / Air Force office of Scientific Research / Johannes Kepler University / Department of Telecooperation / Austrian Marshall Plan Foundation / Department of Aeronautics and Astronautics / Institut für Luft / /

Person

Stanford Universität / Les Lee / Michael Naderhirn / Fu-Kuo Chang / Marco Pavone / /

Position

author / Researcher / sampling-based motion planner / /

ProvinceOrState

California / /

SportsLeague

Stanford University / /

Technology

RRT∗ algorithm / sampling-based motion planning algorithm / Learning Phase PRM∗ Algorithm / API / modified algorithm / drug design / motion planning algorithm / motion planning algorithms / RRT Algorithm / 1.1 Motion Planning Algorithms / /

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