Kobe / San Francisco / Barcelona / Urbana / Sampling / /
Company
Cambridge University Press / Industrial Electronics / Intel / /
Country
Japan / United States / / /
Facility
University of Toronto / University of Illinois / Massachusetts Institute of Technology / University of Massachusetts Amherst / /
IndustryTerm
nonholonomic car / higher-dimensional systems / car model / nonholonomic car driving / nonholonomic car navigating / overall search / obvious solution / higher dimensional search space / constrained systems / higher-order systems / low-dimensional systems / real-time / to kinodynamic systems / holonomic systems / constrained search problem / energy / /
Organization
Cambridge University / Computer Science and Artificial Intelligence Lab / University of Illinois / Urbana-Champaign / University of Massachusetts Amherst / Massachusetts Institute of Technology / University of Toronto / Computer Science Department / /
Person
Matthew Walter / /
Position
standard kinodynamic RRT-based planner / RG-RRT planner / standard RRT-based planner / Major / controller for the underactuated pendulum / planner / standard RRT planner / RRTbased planner / standard RRT-based kinodynamic planner / controller / /
Reachability-Guided Sampling for Planning Under Differential Constraints Alexander Shkolnik, Matthew Walter, and Russ Tedrake Abstract— Rapidly-exploring Random Trees (RRTs) are widely used to solve large planning prob