Mobile Robotics: A Practical Introduction
A Practical Introduction
Published on 15. December 2000
Book
Paperback/Softback
XII, 244 pages
978-1-85233-173-3 (ISBN)
Description
This book is an introduction to the foundations and methods used for designing completely autonomous mobile robots. Readers are introduced to the fundamental concepts of mobile robotics via twelve detailed case studies which show how to build and program real working robots. The book provides a very practical introduction to mobile robotics for a general scientific audience, and is essential reading for practitioners and students working in robotics, artificial intelligence, cognitive science and robot engineering.
More details
Series
Edition
Softcover reprint of the original 1st ed. 2000
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Product notice
Paperback (trade)
Illustrations
black & white illustrations
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Thickness: 13 mm
Weight
400 gr
ISBN-13
978-1-85233-173-3 (9781852331733)
DOI
10.1007/978-1-4471-3392-6
Schweitzer Classification
Other editions
New editions
Book
07/2003
2nd Edition
Springer
€74.89
Shipment within 15-20 days
Additional editions
Ulrich Nehmzow
Mobile Robotics: A Practical Introduction
E-Book
12/2012
Springer
€82.38
Available for download
Content
1 Introduction.- 2 Foundations.- 2.1 Definitions.- 2.2 Applications of Mobile Robots.- 2.3 History of Mobile Robotics: Early Implementations.- 2.4 History of Mobile Robotics: Control Paradigms.- 2.5 Further Reading.- 3 Robot Hardware.- 3.1 Robot Sensors.- 3.2 Robot Actuators.- 3.3 Example: The Mobile Robot FortyTwo.- 3.4 The Need for Sensor Signal Interpretation.- 3.5 Further Reading.- 4 Robot Learning: Making Sense of Raw Sensor Data.- 4.1 Introduction.- 4.2 Learning Methods in Detail.- 4.3 Further Reading on Learning Methods.- 4.4 Case Studies of Learning Robots.- 4.5 Exercise 3: A Target-Following, Obstacle-Avoiding Robot.- 5 Navigation.- 5.1 Principles of Navigation.- 5.2 Fundamental Navigation Strategies of Animals and Humans.- 5.3 Robot Navigation.- 5.4 Case Studies of Navigating Robots.- 6 Simulation: Modelling Robot-Environment Interaction.- 6.1 Motivation.- 6.2 Fundamentals of Computer Simulation.- 6.3 Alternatives to Numerical Models.- 6.4 Case Study on Simulation of Robot-Environment Interaction.- 7 Analysis of Robot Behaviour.- 7.1 Motivation.- 7.2 Statistical Analysis of Robot Behaviour.- 7.3 Case Studies of Performance Evaluation and Analysis.- 7.4 Summary.- 8 Outlook.- 8.1 Achievements.- 8.2 Reasons for Success.- 8.3 Challenges.- 8.4 The Beginning.- 8.5 Further Reading.- Answers to Exercises.- 1 Sonar Sensors.- 2 Robot Learning.- 3 Error Calculations and Contingency Table Analysis.- 4 Analysis of Categorical Data.- List of Exercises and Case Studies.- References.