Robot Behaviour

Design, Description, Analysis and Modelling

By Ulrich Nehmzow

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For decades, robots have been changing our lives, and that will increasingly become the case in the future. This practical book offers examples of modeling and analyzing observed behaviour based on real-world robotic scenarios.

Full Description

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  • ISBN13: 978-1-8480-0396-5
  • 269 Pages
  • User Level: Students
  • Publication Date: December 18, 2008
  • Available eBook Formats: PDF

Related Titles

  • Information Systems and Neuroscience
Full Description
Written to complement and build on Nehmzow’s earlier book: Scientific Methods in Mobile Robotics this new book is practical in its approach and includes examples of modelling and analysing observed behaviour based on real-world robotics scenarios. Robots have been changing our lives for some decades now, and will become even more important in the future. The scientific and industrial community have used them extensively in the past to investigate theoretical concepts of cognition, machine intelligence, theories of behavioural mechanisms in living beings, to manipulate and transport objects, or for inspection and exploration tasks. Increasingly, however, robots are also becoming relevant components of political life: industrialised nations are investing large amounts of money into research of care for the elderly, using robots, or for healthcare applications. Entertainment robots occupy a small niche at the moment, but this will increase, and so too will the use of robots in military applications.
Table of Contents

Table of Contents

  1. To Do.
  2. Introduction to this Book.
  3. A Brief Introduction to Mobile Robotics.
  4. Statistical Tools for Describing Experimental Data.
  5. Describing Behaviour Quantitatively through Dynamical Systems Theory and Chaos Theory.
  6. Analysis of Agent Behaviour – Case Studies.
  7. Computer Modelling of Robot
  8. Environment Interaction.
  9. Accurate Simulation Through System Identification.
  10. Robot Programming Through System Identification.
  11. Other Applications of Transparent Modelling Through System Identification.
  12. Quantitative Comparisons Between Behaviours and Model Validity.
  13. Conclusion.
  14. References.
  15. Index.

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