Nehmzow Mobile Robotics

A Practical Introduction
2. Auflage 2003
ISBN: 978-1-4471-0025-6
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 280 Seiten, eBook

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

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Nehmzow, Ulrich

Inhaltsverzeichnis

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