Let this book be your guide for your study of computational robotics. Book has a website with extra notes and Matlab exercises at http://autonomousmobilerobots.epfl.ch/.

This is the only book about behavior-based robotic theory. However, it is overpriced and spends much time stating the obvious. See also http://www.red3d.com/cwr/ for demos and practical tips.

This book is primarily interested in robot motion from a mechanical engineering viewpoint. A good knowledge of engineering mechanics plus control theory is a prerequisite. The next book in list is a more advanced one on the same subject.

Shows how mathematical treatments of rigid and non-rigid body rotations and displacements are necessary to correctly model robot manipulators. Plus shows how holonomic constraints can be used to determine system behavior. Engineering students also get exposure to the use of Lagrange's equation in robotics.

The definitive book on artificial intelligence, a strong prereq to robotics. The 2nd edition is much better than the first one.

You MUST understand matrix algebra to get anywhere in computational robotics. This has many examples with solutions. Good prelude to "Numerical Linear Algebra" by Trefethen & Bau.

Even more linear algebra problems. This is more helpful with computer vision/graphics type problems.

The classic text on image processing. This is important knowledge when working with robot vision, because you learn to process individual images, enabling your robot to "see".

An intermediate computer vision book with many algorithms pertaining to motion, tracking, and object recognition.Enables your robot to "recognize".

A clear book on statics, in case your engineering mechanics is rusty. Statics & dynamics are needed to properly design the way your robot moves.

You may just need to review your engineering mechanics. In that case, save yourself some money and buy the Schaum's outline.

A good book on control theory & engineering. Many solved problems with solutions. Necessary when planning robot motion. Avoid Schaum's outline of controls - it is heavy on analysis, light on design.

This book was intended for signal processing people, but it has excellent info on the Kalman Filter and other aspects of tracking applicable to robotics.

Now that your robot can see, track, & move, enable it to recognize speech.This is the best intro to that subject you can find.

The first 4 parts of the book are on the technologies and skills needed to build robots, but part 5 has sample robots to build. This includes a roverbot, a walking robot, & robots with arms that have gripping capabilities. The final sections of the book cover more advanced topics such as navigation, sensor integration, object detection, speech synthesis, & even computer vision.