Wednesday, May 25, 2011

Scientific Methods in Mobile Robotics: Quantitative Analysis of Agent Behaviour (Springer Series in Advanced Manufacturing)

Scientific Methods in Mobile Robotics: Quantitative Analysis of Agent Behaviour (Springer Series in Advanced Manufacturing)

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Product Description

Mobile robotics has until now focused on issues like design of controllers and robot hardware. It is now ready to embrace theoretical methods from dynamical systems theory, statistics and system identification to produce a formalized approach based on quantitative analyses and computer models of the interaction between robot, task and environment.


This book is a step towards a theoretical understanding of the operation of autonomous mobile robots. It presents cutting-edge research on the application of chaos theory, parametric and non-parametric statistics and dynamical systems theory in this field. Practical examples and case studies show how robot behaviour can be logged, analysed, interpreted and modelled, aiding design of controllers, analysis of agent behaviour and verification of results.


As the first book to apply advanced scientific methods to mobile robots it will interest researchers, lecturers and post-graduate students in robotics, artificial intelligence and cognitive science.

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Scientific Methods in Mobile Robotics: Quantitative Analysis of Agent Behaviour (Springer Series in Advanced Manufacturing) Review

At present, I have not had a chance to review this book from cover-to-cover. The material I have read is of GREAT benefit to roboticists and perhaps some scientists and engineers. This book is the result of several lectures offered at universities around the world. Clearly, careful selection and cultivation of these lectures have taken place in order to create this book! The wording is in-depth yet easy to follow; concepts are reinforced with examples of mobile robots operating in the real world. I feel much more confident about statistical tools such as the T Test and parametric ANOVA in addition to tools such as the Lyapunov Exponent used to describe the error rate of predictions. (Perhaps the wording on that last one isn't quite accurate - I'll have to go back and re-read that section:)

Some small typographic, grammatical and formatting errors are vastly overshadowed by the overal quality and completeness of the text! If you like mobile robotics and scientific approaches, this book is a definite must-read!!!

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