Overview
- Editors:
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Nadia Nedjah
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Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, MaracanĂ£, Brazil
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Leandro dos Santos Coelho
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Pontifical Catholic University of ParanĂ¡, Curitiba, Brazil
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Luiza de Macedo Mourelle
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Faculdade de Engenharia, Universidade do Estado do Rio de Janeiro, MaracanĂ£, Brazil
- Everything about evolutionary computation in practice
- Includes supplementary material: sn.pub/extras
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Table of contents (10 chapters)
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Evolutionary Mobile Robots
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- Leandro dos Santos Coelho, Nadia Nedjah, Luiza de Macedo Mourelle
Pages 3-22
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- Andrew L. Nelson, Edward Grant
Pages 63-88
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- Plamen Angelov, Xiaowei Zhou
Pages 89-118
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Learning Mobile Robots
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Front Matter
Pages 120-120
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- Jindong Liu, Lynne E. Parker, Raj Madhavan
Pages 121-135
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- Esther L. Colombini, Carlos H. C. Ribeiro
Pages 137-159
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- Antonio Henrique Pinto Selvatici, Anna Helena Reali Costa
Pages 161-184
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- Yi Guo, Lynne E. Parker, Raj Madhavan
Pages 185-200
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- Dennis Barrios-Aranibar, Pablo Javier Alsina
Pages 201-219
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Back Matter
Pages 221-223
About this book
Mobile robotic is a recent ?eld that has roots in many engineering and science disciplines such as mechanical, electrical, mechatronics, cognitive and social sciences just to name few. A mobile robot needs e?cient mechanisms of lo- motion, kinematics, sensors data, localization, planning and navigation that enable it to travel throughout its environment. Scientists have been fascinated by conception of mobile robots for many years. Machines have been designed withwheelsandtracksorotherlocomotion devicesand/orlimbs topropelthe unit. When the environment is well ordered these machines can function well. Mobile robots have demonstrated strongly their ability to carry out useful work. Intelligent robots have become the focus of intensive research in the last decade. The ?eld of intelligent mobile robotics involves simulations and re- world implementations of robots which adapt themselves to their partially unknown, unpredictable and sometimes dynamic environments. The design and control of autonomous intelligent mobile robotic systems operatinginunstructuredchangingenvironmentsincludesmanyobjectived- ?culties. There are several studies about the ways in which, robots exhibiting some degree of autonomy, adapt themselves to ?t in their environments. The application and use of bio-inspired techniques such as reinforcement lea- ing, arti?cial neural networks, evolutionary computation, swarm intelligence and fuzzy systems in the design and improvement of robot designs is an em- gentresearchtopic. Researchershaveobtainedrobotsthatdisplayanamazing slew of behaviours and perform a multitude of tasks.