Good guide to computational robotics

This book is one of only a few of its kind. That is, it is a book that focuses on the computational issues in robotics rather than the all-too familiar hobbyist approach.
Chapter one is somewhat expendable, since it is simply a prosaic overview of the entire text. Chapter two talks about the theory of robot motion at a high level, with few helpful technical details. Chapter three, "Mobile Robot Kinematics", is where the book takes a dramatic upturn in quality. The computations of robot kinematics are discussed in detail for several kinds of robotic wheels. To really understand this chapter, the reader should already be familiar with dynamics and statics as well as the concepts of three dimensional rotation and matrices. For a companion to the kinematic material, I suggest Craig's "Introduction to Robotics: Mechanics and Control (3rd Edition)". It is much better than the reviewers say. Chapter four covers the various sensors used in robotics, as well as the mathematics needed in the integration of those sensors. The chapter concludes with some basic image processing and computer vision techniques. The material here is broad but somewhat shallow. I suggest that you already be familiar with basic image processing techniques and computer vision, or possibly have a copy of Gonzales & Woods "Digital Image Processing" handy, as well as a copy of Trucco & Verri's "Introductory Techniques for 3D Computer Vision". This is especially true if you wish to grasp some of the statistical techniques at the end of chapter four. Chapters five and six, on localization and navigation, respectively, are mathematically deep. The material on the Kalman Filter is somewhat oversimplified, and to truly grasp the subject of Kalman Filtering one will need to go to an outside source for a full tutorial. In my case, my instructor's notes were sufficient.
In summary, this is a very good book for someone who is mathematically mature enough to handle the computational aspects of mobile robotics. The reader should already understand dynamics, statics, numerical linear algebra, image processing, artificial intelligence, and computer vision. This book collects and connects all of these concepts well, but you will have to go digging elsewhere for the complete amount of detail required to perform all of the calculations for the methods described in this book. In short, computational robotics is a type of "capstone course" for engineers/computer scientists with the correct background and reference library, and for those engineers, this is the best guide published to date.

Other Reviews

• Very Interesting projects but autonomous robots is still too slow to action as atheletes!
• Useful Instructor's Reference
• Good guide to computational robotics
• Great emphasis and overview