Description

Book Synopsis
Mobile Robotics: A Practical Introduction (2nd edition) is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. A fascinating, cutting-edge, research topic, autonomous mobile robotics is now taught in more and more universities. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies that show how to build and program real working robots. Topics covered in clued learning, autonomous navigation in unmodified, noisy and unpredictable environments, and high fidelity robot simulation. This new edition has been updated to include a new chapter on novelty detection, and 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. The 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 exiting field. The author is Senior Lecturer at the Department of Computer Science at the University of Essex. "A very fine overview over the relevant problems to be solved in the attempt to bring intelligence to a moving vehicle." Professor Dr. Ewald von Puttkamer, University of Kaiserslautern "Case studies show ways of achieving an impressive repertoire of kinds of learned behaviour, navigation and map-building. The book is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought. This is an important and though-provoking book." Alex M. Andrew in Kybernetes Vol 29 No 4 and Robotica Vol 18

Trade 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)



Table of Contents
Introduction Foundations Robot Hardware Robot Learning: Making Sense of Raw Sensor Data Navigation Novelty Detection Simulation: Modelling Robot-Environment Interaction Analysis of Robot Behaviour Outlook

Mobile Robotics: A Practical Introduction

    Product form

    £59.99

    Includes FREE delivery

    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by Ulrich Nehmzow

    15 in stock


      View other formats and editions of Mobile Robotics: A Practical Introduction by Ulrich Nehmzow

      Publisher: Springer London Ltd
      Publication Date: 08/07/2003
      ISBN13: 9781852337261, 978-1852337261
      ISBN10: 1852337265

      Description

      Book Synopsis
      Mobile Robotics: A Practical Introduction (2nd edition) is an excellent introduction to the foundations and methods used for designing completely autonomous mobile robots. A fascinating, cutting-edge, research topic, autonomous mobile robotics is now taught in more and more universities. In this book you are introduced to the fundamental concepts of this complex field via twelve detailed case studies that show how to build and program real working robots. Topics covered in clued learning, autonomous navigation in unmodified, noisy and unpredictable environments, and high fidelity robot simulation. This new edition has been updated to include a new chapter on novelty detection, and 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. The 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 exiting field. The author is Senior Lecturer at the Department of Computer Science at the University of Essex. "A very fine overview over the relevant problems to be solved in the attempt to bring intelligence to a moving vehicle." Professor Dr. Ewald von Puttkamer, University of Kaiserslautern "Case studies show ways of achieving an impressive repertoire of kinds of learned behaviour, navigation and map-building. The book is an admirable introduction to this modern approach to mobile robotics and certainly gives a great deal of food for thought. This is an important and though-provoking book." Alex M. Andrew in Kybernetes Vol 29 No 4 and Robotica Vol 18

      Trade 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)



      Table of Contents
      Introduction Foundations Robot Hardware Robot Learning: Making Sense of Raw Sensor Data Navigation Novelty Detection Simulation: Modelling Robot-Environment Interaction Analysis of Robot Behaviour Outlook

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account