Planning Algorithms (Steven M. LaValle)

 
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Planning Algorithms (Steven M. LaValle)

This book offers a comprehensive analysis of numerous varieties of planning algorithms. The topic sits at the nexus of computer graphics, artificial intelligence, control theory, robotics, and robotics.

Planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning are some of the specific topics discussed.

Robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, medication design, and protein folding are just a few of the technical fields and businesses that planning algorithms are having an impact on.

Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that integrates literature from several fields into a coherent source for teaching and reference in applications including robotics, computational biology, computer graphics, manufacturing, aerospace applications, and medicine. Difficult mathematical material is explained through hundreds of examples and illustrations.

Ebook Details

About the Authors
Steven M. LaValle is an Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign. He has worked in motion planning and robotics for over a decade and is a leading researcher who has published dozens of articles in the field. 
Published
Published Date / Year
(May 29, 2006)
Hardcover
842 pages
eBook Format
HTML and PDF
ISBN-10
0521862051
ISBN-13
978-0521862059

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