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Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)

Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)

Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent
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Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series) Hardback - 2005

by Choset, Howie,Lynch, Kevin M.,Hutchinson, Seth,Kantor, George A.,Burgard, Wolfram

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Bradford Books, 5/20/2005 12:00:01 A. hardcover. Good. 1.5000 in x 8.9016 in x 8.0000 in. Crease/tear to cover.
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Details

  • Title Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)
  • Author Choset, Howie,Lynch, Kevin M.,Hutchinson, Seth,Kantor, George A.,Burgard, Wolfram
  • Binding Hardback
  • Edition [ Edition: First
  • Condition Used - Good
  • Pages 603
  • Volumes 1
  • Language ENG
  • Publisher Bradford Books, India
  • Publication date 5/20/2005 12:00:01 A
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # mon0000029639
  • ISBN 9780262033275 / 0262033275
  • Weight 2.9 lbs (1.32 kg)
  • Dimensions 9.4 x 8.1 x 1.52 in (23.88 x 20.57 x 3.86 cm)
  • Size 1.5000 in x 8.9016 in x 8.0000 i
  • Age range 18 to UP years
  • Grade levels 13 - UP
  • Category Technology & Industrial Arts
  • Library of Congress subjects Robots - Motion
  • Library of Congress Catalogue Number 2004044906
  • Dewey Decimal Code 629.892
  • Quantity available 1

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Reader reviews for Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)

From the publisher

A text that makes the mathematical underpinnings of robot motion accessible and relates low-level details of implementation to high-level algorithmic concepts.

Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.

About the author

Howie Choset is Associate Professor in the Robotics Institute at Carnegie Mellon University.

Kevin M. Lynch is Associate Professor in the Mechanical Engineering Department, Northwestern University.

Seth Hutchinson is Professor in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.

George Kantor is Project Scientist in the Center for the Foundations of Robotics, Robotics Institute, Carnegie Mellon University.

Wolfram Burgard is Professor of Computer Science and Head of the research lab for Autonomous Intelligent Systems at the University of Freiburg.

Lydia E. Kavraki is Professor of Computer Science and Bioengineering, Rice University.

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab.

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