Computational Principles of Mobile Robotics

Dudek, Gregory

ISBN 10: 1108736386 / ISBN 13: 9781108736381

Published by Cambridge University Press, 2024

About this Item

Seller Inventory # 18398673890

Bibliographic Details

Title: Computational Principles of Mobile Robotics

Publisher: Cambridge University Press

Publication Date: 2024

Binding: Soft cover

Condition: New

Edition: 3rd Edition

About this title

Synopsis:

Now in its third edition, this textbook is a comprehensive introduction to the multidisciplinary field of mobile robotics, which lies at the intersection of artificial intelligence, computational vision, and traditional robotics. Written for advanced undergraduates and graduate students in computer science and engineering, the book covers algorithms for a range of strategies for locomotion, sensing, and reasoning. The new edition includes recent advances in robotics and intelligent machines, including coverage of human-robot interaction, robot ethics, and the application of advanced AI techniques to end-to-end robot control and specific computational tasks. This book also provides support for a number of algorithms using ROS 2, and includes a review of critical mathematical material and an extensive list of sample problems. 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.

About the Authors:

Gregory Dudek is Distinguished James McGill Professor of Computer Science at McGill University. He is also a member of the Center for Intelligent Machines, and associate member of Mila, and has been co-author of over 300 refereed publications on robotics, machine learning and computer vision. He has also served as a Vice President with Samsung Electronics and founding Lab Head for the Samsung AI Center in Montreal, Canada. With Michael Jenkin, he has played many roles in the field including co-founding Independent Robotics Inc, and established the Canadian Robotics Research Network.

Michael Jenkin is Professor of Electrical Engineering and Computer Science at York University. Working with intelligent autonomous machines for over thirty years, he has helped develop autonomous systems that have operated on and below the water's surface, and has worked on robot systems that were designed to operate in environments from nuclear power plants to contaminated crime scenes.