9780262033275-0262033275-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)

3.5
ISBN-13: 9780262033275
ISBN-10: 0262033275
Edition: Illustrated
Author: Sebastian Thrun, Wolfram Burgard, Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Lydia E. Kavraki
Publication date: 2005
Publisher: Bradford Books
Format: Hardcover 603 pages
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Book details

ISBN-13: 9780262033275
ISBN-10: 0262033275
Edition: Illustrated
Author: Sebastian Thrun, Wolfram Burgard, Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Lydia E. Kavraki
Publication date: 2005
Publisher: Bradford Books
Format: Hardcover 603 pages

Summary

Acknowledged authors Sebastian Thrun , Wolfram Burgard , Howie Choset , Kevin M. Lynch , Seth Hutchinson , George A. Kantor , Lydia E. Kavraki wrote Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series) comprising 603 pages back in 2005. Textbook and eTextbook are published under ISBN 0262033275 and 9780262033275. Since then Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series) textbook received total rating of 3.5 stars and was available to sell back to BooksRun online for the top buyback price of $ 33.53 or rent at the marketplace.

Description

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.

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