Principles of Robot Motion: Theory, Algorithms, and Implementations

by Howie Choset, Kevin M. Lynch, Seth Hutchinson, George A. Kantor, Wolfram Burgard, Lydia E. Kavraki, Sebastian Thrun

Publisher: A Bradford Book
ISBN: 0262033275

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Book Description

Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in novel areas such as drug design and protein folding. This text reflects the great advances that have taken place in the last ten years, including sensor-based planning, probabalistic planning, localization and mapping, and motion planning for dynamic and nonholonomic systems. Its presentation makes the mathematical underpinnings of robot motion accessible to students of computer science and engineering, rleating low-level implementation details to high-level algorithmic concepts.

About the Author

Howie Choset is Associate Professor in the Robotics Institute at Carnegie Mellon University.

Kevin M. Lynch is Associate Professor in the Mechanical Engineering Department, Northwestern University.

Seth Hutchinson is Professor in the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign.

George Kantor is Project Scientist in the Center for the Foundations of Robotics, Robotics Institute, Carnegie Mellon University.

Wolfram Burgard is Professor of Computer Science and Head of the research lab for Autonomous Intelligent Systems at the University of Freiburg.

Lydia E. Kavraki is Professor of Computer Science and Bioengineering, Rice University.

Sebastian Thrun is Associate Professor in the Computer Science Department at Stanford University and Director of the Stanford AI Lab.

Customer Reviews

This is a great book on mobile robotics, a lot of methods are explained in the book and its writing is clear and easy to understand. I have used it on several undergraduate and graduate courses that I have taken, I fully recommend it.

At the outset one might expect this book to be pure about motion planning or motion control. In reality the book is remarkably comprehensive in coverage of perception, planning and control with in-depth coverage of basic kinematics, basic planning mechanisms and applied estimation such as Kalman filters for robot perception. The book was written/edited by the first authors with in-depth coverage in particular chapters by the other authors. In the end it is a very coherent, up-to-date and comprehensive book. The book is written to have enough detail for a 1 term senior under-graduate or junior graduate course in robotics or as a reference for practitioners. Truly a great book