Urbana / Sampling / THE AQR / Berlin / Gaussian / Euclidean / London / using the AQR / /
Company
Cambridge University Press / Texas Instruments / / /
Facility
University of Illinois / Prentice Hall / Iowa State University / University of Toronto / Massachusetts Institute of Technology / /
IndustryTerm
energyconservative systems / motion planning algorithms / randomized algorithms / benchmark systems / bounded-input continuous-time systems / low input energy / bounded-input continuous-time double integrator / basic algorithm / dynamical systems / energy / double integrator / energy-based pseudometric / dynamic systems / closed-form solution / path-planning algorithms / linear systems / randomized path-planning algorithm / holonomic systems / control solution / /
Organization
Cambridge University / MIT / Massachusetts Institute of Technology / Iowa State University / Department of Electrical Engineering and Computer Science / University of Illinois / University of Toronto / /
Person
Jongwoo Kim / Maciej Kalisiak / Dimitri P. Bertsekas / John Canny / John Reif / Space Elena Glassman / A. Yershova / Ashutosh Rege / L. Jaillet / Alec Shkolnik / S. M. LaValle / Donald E. Kirk / David Wingate / Ian Manchester / J. J. Kuffner / Jr. / Martin Glassman / James J. Kuffner / Jr. / Matthew Walter / Jim Keller / Peng Cheng / Emilio Frazzoli / Min-Time (d) Euclidean Distance / T. Simeon / John Roberts / Abraham Bachrach / Elena Leah Glassman / Seth Teller / Frank L. Lewis / Vijay Kumar / Steven M. LaValle / Joel M. Esposito / Alexander Shkolnik / R. Vijay Kumar / Rick Cory / Russ Tedrake / /
Position
editor / RT / Associate Professor of Electrical Engineering and Computer Science / controller / /
A Quadratic Regulator-Based Heuristic for Rapidly Exploring State Space Elena Glassman and Russ Tedrake Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of findin