- Publisher: Cambridge University Press
- Online publication date: August 2009
- Print publication year: 2006
- Online ISBN: 9780511546877
Please note, due to essential maintenance online purchasing will be unavailable between 08:00 and 12:00 (BST) on 24th February 2019. We apologise for any inconvenience.
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.
Matt Mason - Director of The Carnegie Mellon Robotics Institute
Mark Overmars - Utrecht University
Antonio Bicchi - della Università di Pisa
Elon Rimon - Technion
Jean-Paul Laumond - LAAS-CNRS