Path Planning in 1000 Dimensions Using a Task-Space Voronoi Bias Alexander Shkolnik and Russ Tedrake Abstract— The reduction of the kinematics and or dynamics of a high-DOF robotic manipulator to a low-dimension “ta - Random tree - Document - PDFSEARCH.IO

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	Path Planning in 1000+ Dimensions Using a Task-Space Voronoi Bias Alexander Shkolnik and Russ Tedrake Abstract— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “ta Add to Reading List Document Date: 2009-02-16 23:29:07 Open Document File Size: 236,94 KB Share Result on Facebook Company Cambridge University Press / / Country United States / / / Facility Iowa State University / / IndustryTerm dimensional systems / invaluable tool / task-space search / potential solutions / search performance / inverse kinematics solutions / computing / search algorithms / / Organization Cambridge University / Texas A&M University / Computer Science and Artificial Intelligence Lab / Iowa State University / MIT / / Person Cybern / Space Voronoi Bias Alexander Shkolnik / A. Shkolnik / Thomas Kollar / R. Tedrake / / Position forward / Professor of EECS / planner / controller / Assistant Professor of EECS / / ProvinceOrState Texas / New Mexico / Iowa / Massachusetts / / PublishedMedium The International Journal / / Technology proposed algorithm / RRT algorithm / search algorithms / / SocialTag Rapidly-exploring random tree Mathematics Motion planning Artificial intelligence Applied mathematics Probabilistic roadmap Inverse kinematics Voronoi diagram Robotics Robot control

Path Planning in 1000+ Dimensions Using a Task-Space Voronoi Bias Alexander Shkolnik and Russ Tedrake Abstract— The reduction of the kinematics and/or dynamics of a high-DOF robotic manipulator to a low-dimension “taAdd to Reading List