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Robot control / Motion planning / ROS / Robotics / Search algorithms / Rapidly-exploring random tree


EG-RRT: Environment-Guided Random Trees for Kinodynamic Motion Planning with Uncertainty and Obstacles L´eonard Jaillet, Judy Hoffman, Jur van den Berg, Pieter Abbeel, Josep M. Porta, Ken Goldberg Abstract— Existing s
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Document Date: 2011-11-18 02:34:58


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City

Barcelona / Boston / New York / Sampling / /

Company

TABLE I C OMPUTATIONAL TIMES / Springer-Verlag New York Inc. / Cambridge University Press / MIT Press / /

Country

United States / Spain / /

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Facility

University of North Carolina / Chapel Hill / University of Toronto / University of Illinois / Massachusetts Institute of Technology / University of California / U.S. National Institute of Health / /

IndustryTerm

car-like robot / dimensional and differentially-constrained systems / kinodynamic systems / search leading continuous exploration / motion planning algorithm / kinodynamic robot systems / robotic systems / non-holonomic systems / /

Organization

Cambridge University / University of Illinois / MIT / Institut de Rob`otica / U.S. National Science Foundation / University of North Carolina / Chapel Hill / University of California / Berkeley / Massachusetts Institute of Technology / U.S. National Institute of Health / Spanish Ministry of Science and Innovation / EG RRT / Algorithmic Foundation of Robotics / University of Toronto / /

Person

Judy Hoffman / Pieter Abbeel / /

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Position

hybrid planner / C. Resolution-Complete RRT The RC-RRT planner / A. LQG-MP Costs LQG-MP / Cost-Guided Exploration Our planner / resulting planner / planner / LQG-MP / EG-RRT planner / feedback controller / /

ProvinceOrState

Illinois / Massachusetts / /

Technology

motion planning algorithm / RRT-based algorithm / /

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