Principles of Robot Motion Theory, Algorithms, and Implementations

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

Principles of Robot Motion Theory, Algorithms, and Implementations Synopsis

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.

Book Information

ISBN: 9780262033275
Publication date: 20th May 2005
Author: Howie M. Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor
Publisher: Bradford Books an imprint of MIT Press Ltd
Format: Hardback
Pagination: 626 pages
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About Howie M. Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor

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

More About Howie M. Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor

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