Computational Principles of Mobile Robotics

Description

This textbook for advanced undergraduates and graduate students emphasizes algorithms for a range of strategies for locomotion, sensing, and reasoning. It concentrates on wheeled and legged mobile robots but discusses a variety of other propulsion systems. This edition includes advances in robotics and intelligent machines over the ten years prior to publication, including significant coverage of SLAM (simultaneous localization and mapping) and multi-robot systems. It includes additional mathematical background and an extensive list of sample problems. Various mathematical techniques that were assumed in the first edition are now briefly introduced in appendices at the end of the text to make the book more self-contained. Researchers as well as students in the field of mobile robotics will appreciate this comprehensive treatment of state-of-the-art methods and key technologies.

Gregory Dudek is Professor of Computer Science and Director of the School of Computer Science at McGill University. He holds a James McGill Chair and is a member of the Center for Intelligent Machines, and has been co-author of over 150 refereed publications on robotics and computer vision. Michael Jenkin is a Professor of Computer Science and Engineering at York University. He has co-edited a series of eight books on human and machine vision.

'... a good synthesis of robotics for computer science people, and is a useful tool for approaching the area.' Computing Reviews '... clearly presents the range of topics covered in this multidisciplinary field.' Industrial Robot 'This book is an indispensable tool for any - both pre-university and university - course on mobile robotics. It covers the main topics related to any mobile robotic system, including hardware (locomotion and communication), sensors, navigation, path planning, mapping, and localization.' Ramon Gonzalez Sanchez, University of Almeria