Planning Algorithms

Description

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. Review: Recommended for anyone in the field of Planning - Perfect book. Well written, covers many areas in planning, almost self contained, and after 25 years still very relevant. Review: Planning Algorithms: why you have to buy it - Is the most complete and exhaustive survey about path planning and robot navigation. There is an interesting section about topological spaces and their application to path planning. You should know that it can be downloaded for free from the author's website, but i think that this is one of the few books in the field of robotics you must have (the other one is the idustrial robotics book written by Lorenzo Sciavicco)