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Motion Planning: Wild Frontiers Steven M. LaValle Complete geometric model of the world Here we give Part II the two-part tutorial. Part I emphasized the basic problem formulation, mathematical concepts, and the most com
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Document Date: 2011-10-14 01:50:53


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City

Manchester / C. Sampling / Belmont / Dekker / Sampling / /

Company

Princeton University Press / Cambridge University Press / MIT Press / SENSING UNCERTAINTY / FEEDBACK MOTION PLANNING / CNS Cyberphysical Systems / /

Country

United Kingdom / /

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Event

Product Issues / Product Recall / /

Facility

University of Illinois / /

IndustryTerm

car-like robot / car-like mobile robot / grid search / search plan / car drives / transport food / enough path planning algorithm / Search trees / possible search graph / path planning algorithm / complicated robot systems / feasible solution / planning algorithms / bidirectional search / neural networks / samplingbased planning algorithms / autonomous systems / nonlinear systems / collision detection algorithms / unidirectional search / much more complicated robot systems / graph search algorithms / control law / search methods / /

Organization

Cambridge University / University of Illinois / National Science Foundation / Department of Computer Science / MIT / Princeton University / /

Person

M. S. Branicky / V / /

Position

representative / Forward / Acknowledgments The author / feedback controller / /

Product

Pentax K-x Digital Camera / decades-old Sense Plan Act / /

ProgrammingLanguage

L / /

ProvinceOrState

Illinois / New York / Massachusetts / /

PublishedMedium

Journal of the ACM / /

Technology

cases Dijkstra-like algorithms / graph search algorithms / collision detection algorithms / planning algorithms / enough path planning algorithm / path planning algorithm / Sampling-based planning algorithms / /

URL

http /

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