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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 33000000009050 | TJ211.415 S544 2011 | Open Access Book | Book | Searching... |
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Summary
Summary
The second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms.
Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.
This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.
Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.
Author Notes
Roland Siegwart is Professor of Autonomous Systems and Director of the Center for Product Design at the Institute of Robotics and Intelligent Systems, ETH Z rich.
Illah Reza Nourbakhsh is K&L Gates Professor of Ethics and Computational Technologies in the Robotics Institute at Carnegie Mellon University. He is the author of Robot Futures and coauthor of Introduction to Autonomous Mobile Robots (both published by the MIT Press).
Davide Scaramuzza is Professor of Robotics at the University of Zurich and Adjunct Faculty at ETH Zurich's Master in Robotics Systems and Control program. He leads the Robotics and Perception Lab at the Department of Informatics at the University of Zurich.
Reviews 1
Choice Review
The first edition of this textbook (2004) is one of the most used robotics books in this reviewer's academic library for both research and teaching. First edition authors Siegwart (Autonomous Systems Lab, ETH Zurich, Switzerland) and Nourbakhsh (Robotics Institute, Carnegie Mellon Univ.) added a third author, Scaramuzza (ETH Zurich), to this new work. This second edition will now replace the first in this reviewer's library and for his teaching, as it provides greater depth into topics such as image processing and simultaneous localization and mapping (SLAM). Despite the word "introduction" in the title, it is not a book to be used for an undergraduate robotics course. The first three chapters ("Introduction," "Locomotion, " and "Mobile Robotic Kinematics") are accessible to students who have taken math and physics. The fourth chapter, "Perception," begins to wade into some more complex topics and starts focusing more on algorithms and less on hardware. The last two chapters, "Mobile Robot Localization" and "Planning and Navigation," introduce new topics, but the material is definitely geared toward a more advanced reader with sufficient background in probability and statistics, and can be used as an introduction to artificial intelligence. Summing Up: Recommended. Advanced upper-division undergraduates, graduate students, and professionals working in unmanned systems research. R. S. Stansbury Embry-Riddle Aeronautical University
