Planning Algorithms

by Steven M. LaValle

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.

Genres: Engineering, Artificial Intelligence, Computer Science, Technology, Textbooks, Computation, Programming

Hardcover

First published May 30, 2002

Reviews

[Kostiantyn Shevchenko · Rating 5 out of 5]

This is an original textbook-grade course gathering algorithms, techniques and math related to all aspects of planning useful in wide variety of applied engineering and computer science fields.
My personal focus was also on Chapter 5, which serves as a concise and effective introduction to low-discrepancy sampling theory and features results immediately useful particularly for low-dimensional hyperparameter optimization and quasi-Monte Carlo integration.

[Andrew]

An omnibus book. The first chapter is a lot of fun because it motivates the subject well from both a pure and applied standpoint -- these are problems that are both interesting in their own right and useful. And with the material covered, it's sort of amazing how much we can do in the field -- there's so much that goes into solving the most fundamental questions, like localizing a robot.

The sources that I recognized at the end of chapters were generally good, so I feel comfortable drawing recommendations for further reading from the sources I didn't.