Synopsis
A coherent source for applications including robotics, computational biology, graphics, manufacturing, aerospace applications and medicine.
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About the Author
Steven M. LaValle is Associate Professor of Computer Science at the University of Illinois, 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. He is the main developer of the Rapidly-exploring Random Tree (RRT) algorithm, which has been used in numerous research labs and industrial products around the world. He has taught material on which the book is based at Stanford University, Iowa State University, the Tec de Monterrey, and the University of Illinois.
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Planning Algorithms
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Cambridge University Press (edition Illustrated), 2006
ISBN 10: 0521862051
ISBN 13: 9780521862059
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Planning Algorithms
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ISBN 13: 9780521862059
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Planning Algorithms
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ISBN 10: 0521862051
ISBN 13: 9780521862059
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Condition: Very Good. First edition, first printing, 842 pp., hardcover, some faint pencil markings to a few pages else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1336179
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Planning Algorithms
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Planning Algorithms
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Planning Algorithms
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Planning Algorithms
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Planning Algorithms
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Planning Algorithms (Hardcover)
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Hardcover. Condition: new. Hardcover. 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 coherent and comprehensive 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. A major part of the book is devoted to planning under uncertainty, including decision theory, Markov decision processes, and information spaces, which are the 'configuration spaces' of all sensor-based planning problems. The last part of the book delves into planning under differential constraints that arise when automating the motions of virtually any mechanical system. This text and reference is intended for students, engineers, and researchers in robotics, artificial intelligence, and control theory as well as computer graphics, algorithms, and computational biology. 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. Written for computer scientists and engineers with interests in artificial intelligence, robotics, or control theory, this is the only book on this topic that tightly integrates a vast body of literature from several fields into a coherent source for teaching and reference in a wide variety of applications. Difficult mathematical material is explained through hundreds of examples and illustrations. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780521862059