Mobile robotics is a cutting-edge research topic, which until
recently has primarily focused on issues such as the design of
controllers and robot hardware. The field is now ready to embrace
theoretical methods from dynamical systems theory, statistics and
system identification to produce quantitative analyses and computer
models of robot-environment interaction.
Scientific Methods in Mobile Robotics: Quantitative Analysis of
Agent Behaviour is a decisive step towards a theoretical
understanding of the operation of autonomous mobile robotics. This
book presents cutting-edge research results on the application of
chaos theory, parametric and non-parametric statistics and
dynamical systems theory in mobile robotics. It presents
foundations of a theory of mobile robotics by providing a
quantitative analysis of the interaction between robot, task and
environment. Practical examples and case studies show how robot
behaviour can be logged, modelled, analysed and interpreted. This
new approach will aid the design of controllers, analysis of agent
behaviour and the verification of experimental results.
As the first book to apply advanced scientific methods to the
growing field of mobile robots, Scientific Methods in Mobile
Robotics: Quantitative Analysis of Agent Behaviour will interest
researchers, lecturers and post-graduate students in robotics,
artificial intelligence and cognitive science.
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