Titlebook: Scientific Methods in Mobile Robotics; Quantitative Analysi Ulrich Nehmzow Book 2006 Springer-Verlag London 2006 Chaos.Scientific methods.a

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Statistical Tools for Describing Experimental Data,Statistical descriptions of experimental data are one of the simplest methods of describing . what a robot does. This chapter presents statistical methods that are useful when analysing experimental data generated by an agent such as a robot, and gives examples of applications in robotics.

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Dynamical Systems Theory and Agent Behaviour,This chapter introduces concepts of dynamical systems theory such as phase space, phase space reconstruction and analysis of phase space, and their application to the analysis of behaving agents.

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,Analysis of Agent Behaviour — Case Studies,In this section the techniques presented in Chapter 4 are applied to “real world” experimental data. Three data sets will be analysed: the movement of a mobile robot that is randomly moving around in its environment, a “chaos walker”, and the flight path of a carrier pigeon.

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Computer Modelling of Robot-Environment Interaction,This chapter discusses modelling robot-environment interaction in general (. motivation, data logging, sampling, time series analysis), and how robot-environment interaction can be modelled, using system identification techniques such as artificial neural networks, ARMAX and NARMAX models.

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Ulrich NehmzowNo other book applies scientific and experimental methods to mobile robots.A decisive step towards a theoretical understanding of the operation of autonomous mobile robotics.Practical examples and cas

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ainst the background of membrane types and structures. These will be briefly summarized with focus on their relation with synthesis aspects. This will justify a selection of . groups of methods: those which will be discussed in more detail (Sections 2.3–2.9) and those which will only be mentioned, b

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