Planning Algorithms


€124,67
Auteur Steven M. LaValle
Taal ENG- Engels
Bindwijze Paperback
ISBN/EAN 9780521862059
Releasedatum 2006-05-29
Doelgroep Tieners en jongvolwassenen, Volwassenen, Volwassenen en jong volwassenen
Title: Default Title
Preis:
Sonderpreis€124,67

Planning Algorithms van Steven M. LaValle is een Engelstalig gedrukt boek. Deze titel is geschikt voor studenten in het hoger onderwijs en professionals.

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.

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.

A coherent source for applications including robotics, computational biology, graphics, manufacturing, aerospace applications and medicine.

Inhoudelijk sluit dit boek aan bij onderwerpen als Machine learning, Mathematical theory of computation, COMPUTERS / Data Science / Machine Learning.

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