Analysis of Robot Behaviour
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.
KeywordsEntropy Brittle Nism Topo Sonar
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Case Study 10: Further Reading
- • 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
- • 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 http://www.cs.man.ac.uk/cstechrep/titles97.html.Google Scholar
Case Study 12: Further Reading
- • 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