Analysis of Robot Behaviour

  • Ulrich Nehmzow
Part of the Applied Computing book series (APPLCOMP)


This chapter discusses the concept of a “science of mobile robotics” and presents methods by which the behaviour of a robot can be analysed quantitatively. Three case studies on quantitative analysis of robot navigation systems conclude the chapter.


Mobile Robot Localisation Error Real Robot Dead Reckoning Mobile Robotic 
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Further Reading

  1. • Edward Batschelet, Circular Statistics in Biology, Academic Press, New York, 1981.MATHGoogle Scholar
  2. • J. H. Zar, Biostatistical Analysis, Prentice Hall, New Jersey, 1984.Google Scholar

Case Study 10: Further Reading

  1. • Ulrich Nehmzow, “Meaning” through Clustering by Self-Organisation of Spatial and Temporal Information. In C. L. Nehaniv (ed.), Computation for Metaphors, Analogy & Agents, Lecture Notes in Artificial Intelligence, Vol. 1562, pp. 209–229, Springer Verlag, Berlin, Heidelberg, New York, 1999.CrossRefGoogle Scholar

Case Study 11: Further Reading

  1. • C. Owen and U. Nehmzow, Middle Scale Navigation — a Case Study, in N. Sharkey and U. Nehmzow (eds.), Spatial Reasoning in Mobile Robots and Animals, Technical Report Series, Report No. UMCS-97–4-1, Department of Computer Science, University of Manchester, Manchester 1997. Available at Scholar

Case Study 12: Further Reading

  1. • Tom Duckett and Ulrich Nehmzow, A Robust, Perception-Based Localisation Method for a Mobile Robot, Technical Report Series, Report No. UMCS-96–11-1, Dept. of Computer Science, University of Manchester, Manchester, 1996.Google Scholar
  2. • Tom Duckett and Ulrich Nehmzow, Mobile Robot Self-Localization and Measurement of Performance in Middle Scale Environments, Journal of Robotics and Autonomous Systems, No. 24, Vols. 1–2, pp. 57–69, 1998.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2000

Authors and Affiliations

  • Ulrich Nehmzow
    • 1
  1. 1.Department of Computer ScienceUniversity of ManchesterManchesterUK

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