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Intelligent Machines: An Introduction  7
                            b. Micromechanical Flying Insect (MFI) project [25]: the objective of this
                               project is to create an insect-like device that is capable of flying autono-
                               mously.
                            c. Medical micro-robot project [26]: this projects aims to create the world’s
                               smallest micro-robot as wide as human hair at about 250 micron.
                               This micro-robot will be used to transmit images and deliver microscopic
                               payloads to parts of the body outside the reach of existing catheter tech-
                               nology.


                           4 Chapters Included in this Book

                           This book includes nine chapters. Chapter one introduces intelligent machines
                           and presents the chapters included in this book. Chapter two by Cummings
                           et al. is on predicting operator capacity for supervisory control of UAVs. The
                           authors have considered a cost-performance model in this study. Chapter three
                           by Sujit et al. is on team, game and negotiation based intelligent autonomous
                           UAV task allocation for a number of applications. The authors have also
                           presented a scheme of searching in an unknown environment. Chapter four by
                           Nikolas et al. is on path planning using evolutionary algorithms. The authors
                           have used Radial Basis Function Neural Network in evolutionary environment
                           in the design of their off-line path planner for UAV. Chapter five by Rathinam
                           and Sengupta is on algorithms on routing problems related to UAVs. The
                           authors have presented a class of routing problems and including review and
                           recent developments.
                              Chapter six by Beard is on state estimation for micro air vehicles. The
                           author has presented mathematical models for the sensors for multiple air
                           vehicles. Chapter seven by Pongpunwattana and Rysdyk is on evolution-based
                           dynamic path panning for autonomous vehicles. The algorithms take into
                           account the uncertain information of the environment and dynamics of the
                           system. Chapter eight by Pr¨uter et al. is on evolutionary design of control
                           architecture for soccer-playing robots. Artificial intelligence techniques are
                           used to compensate the effect of slipping wheels, changing friction values,
                           noise and so on. The final chapter by Gasper et al. is on robot perception
                           through omnidirectional vision. The authors have examined how robots can
                           use images which convey only 2D information to drive its actions in 3D space.
                           The design of a navigation system considering sensor design, environmental
                           representations, navigation control and user interaction is presented.


                           5 Summary

                           This chapter has presented an introduction to intelligent machines. A discus-
                           sion on intelligence and the difference between intelligent and natural repet-
                           itive or programmed behaviors are given. The importance of an intelligent
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