Planning algorithms /
Steven M. LaValle.
- Cambridge ; New York : Cambridge University Press, 2006.
- xvi, 826 p. : ill. ; 27 cm.
Includes bibliographical references (p. 767-810) and index.
Discrete planning -- Geometric represenatations and transformations -- The configuration space -- Sampling-based motion planning -- Combinatorial motion planning -- Extensions of basic motion planning -- Feedback motion planning -- Basic decision theory -- Sequential decision theory -- Sensors and information spaces -- Planning under sensing uncertainty -- Differential models -- Sampling-based planning under differential constraints -- System theory and analytical techniques.
"Planning algorithms are impacting technical disciplines and industries around the world, including robotics, computer-aided design, manufacturing, computer graphics, aerospace applications, drug design, and protein folding. This book unifies material from several sources, including robotics, control theory, artificial intelligence, and algorithms. The treatment is centered on robot motion planning but integrates material on planning in discrete spaces." "Developed from courses taught by the author, the book is intended for students, engineers, and researchers in robotics, artificial intelligence, and control theory as well as computer graphics, algorithms, and computational biology."--BOOK JACKET.