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Mobile Robotics: A Practical Introduction (Applied Computing)
 
 
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Mobile Robotics: A Practical Introduction (Applied Computing) [Paperback]

Ulrich Nehmzow (Author)
5.0 out of 5 stars  See all reviews (1 customer review)


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Paperback, November 12, 2002 --  
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Mobile Robotics: A Practical Introduction Mobile Robotics: A Practical Introduction 5.0 out of 5 stars (1)
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Book Description

November 12, 2002 1852331739 978-1852331733
Mobile Robotics: A Practical Introduction is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies which show how to build and program real working robots. This book provides a very practical introduction to mobile robotics for a general scientific audience, and is essential reading for final year undergraduate students and postgraduate students studying Robotics, Artificial Intelligence, Cognitive Science and Robot Engineering. Its update and overview of core concepts in mobile robotics will assist and encourage practitioners of the field, and set challenges to explore new avenues of research in this exciting field.

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Editorial Reviews

Review

From the reviews of the second edition: "The book is an admirable introduction to its modern approach to mobile robotics and certainly gives a great deal of food for thought. … Like its first edition, this is an important and thought-provoking book." (Alex M. Andrew, Robotica, Vol. 22 (347), 2004) "Mobile Robotics: A Practical Introduction (2nd edition) is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. … provides a very practical introduction to mobile robotics for a general scientific audience. It is essential reading for 2nd and 3rd year undergraduate students and postgraduate students studying robotics, artificial intelligence, cognitive science and robot engineering. … is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought." (Alex M. Andrew, Artificial Life & Robotics, Vol. 7 (4), 2004)   --This text refers to an alternate Paperback edition.

Product Details

  • Paperback: 244 pages
  • Publisher: Springer (November 12, 2002)
  • Language: English
  • ISBN-10: 1852331739
  • ISBN-13: 978-1852331733
  • Product Dimensions: 9.2 x 6.2 x 0.6 inches
  • Shipping Weight: 14.4 ounces
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #1,767,139 in Books (See Top 100 in Books)

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11 of 12 people found the following review helpful:
5.0 out of 5 stars The book provides a very good introduction to mobile robots., April 29, 2000
This review is from: Mobile Robotics: A Practical Introduction (Applied Computing) (Paperback)
This is a very good introductory book on mobile robots. It assumes no background of the readers in the subject. Chapter 3 provides a introduction to the hardwared aspects including sensors and actuators. Chapter 4 on machine learning by robots is also very very interesting. The case studies presented in chapter 5 and 6 will be very much useful to the new-entrants of this discipline. Chapter 7 on analysis of robot behaviour is important for the researchers working in the discipline.I like the book for its simplicity in presentation and direct reference to the points to be discussed, rather than providing a lengthy introduction to the topics. The phrase "A practcical introduction" in the title is really worthwhile for the book.
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Inside This Book (learn more)
First Sentence:
Summary. This chapter sets the scene. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
episodic mapping mechanism, relative odometry, route learning system, motor action commands, perceptual signature, freak perceptions, robot learning problem, perceptual landmarks, robot navigation systems, localisation algorithm, localisation system, mobile robotics research, wall following behaviour, robot trace, unmodified environments, localisation error, beacon sensor, pattern associator, previous corners, wall follower, robot behaviour, internal world model, total training time, perceptual discrepancy, sonar sensors
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Practical Introduction, Further Reading, Location Training, New York, Hans Moravec, Manchester University, University of Manchester, Chuck Thorpe, Springer Verlag
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