Evolutionary Robotics

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Publisher : World Scientific
ISBN 13 : 9812773142
Total Pages : 267 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis Evolutionary Robotics by : Lingfeng Wang

Download or read book Evolutionary Robotics written by Lingfeng Wang and published by World Scientific. This book was released on 2006 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material. The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels. Sample Chapter(s). Chapter 1: Artificial Evolution Based Autonomous Robot Navigation (184 KB). Contents: Artificial Evolution Based Autonomous Robot Navigation; Evolvable Hardware in Evolutionary Robotics; FPGA-Based Autonomous Robot Navigation via Intrinsic Evolution; Intelligent Sensor Fusion and Learning for Autonomous Robot Navigation; Task-Oriented Developmental Learning for Humanoid Robots; Bipedal Walking Through Reinforcement Learning; Swing Time Generation for Bipedal Walking Control Using GA Tuned Fuzzy Logic Controller; Bipedal Walking: Stance Ankle Behavior Optimization Using Genetic Algorithm. Readership: Researchers in evolutionary robotics, and graduate and advanced undergraduate students in computational intelligence.

Evolutionary Robotics: From Algorithms To Implementations

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Publisher : World Scientific
ISBN 13 : 9814477524
Total Pages : 267 pages
Book Rating : 4.29/5 ( download)

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Book Synopsis Evolutionary Robotics: From Algorithms To Implementations by : Ling-feng Wang

Download or read book Evolutionary Robotics: From Algorithms To Implementations written by Ling-feng Wang and published by World Scientific. This book was released on 2006-07-17 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book comprehensively describes evolutionary robotics and computational intelligence, and how different computational intelligence techniques are applied to robotic system design. It embraces the most widely used evolutionary approaches with their merits and drawbacks, presents some related experiments for robotic behavior evolution and the results achieved, and shows promising future research directions. Clarity of explanation is emphasized such that a modest knowledge of basic evolutionary computation, digital circuits and engineering design will suffice for a thorough understanding of the material.The book is ideally suited to computer scientists, practitioners and researchers keen on computational intelligence techniques, especially the evolutionary algorithms in autonomous robotics at both the hardware and software levels.

Complex Behavior in Evolutionary Robotics

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Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110409186
Total Pages : 262 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Complex Behavior in Evolutionary Robotics by : Lukas König

Download or read book Complex Behavior in Evolutionary Robotics written by Lukas König and published by Walter de Gruyter GmbH & Co KG. This book was released on 2015-03-30 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, autonomous robots are used in a rather limited range of applications such as exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing hardware improvements (and human fantasy) steadily reveal new robotic applications of significantly higher sophistication. For such applications, the crucial bottleneck in the engineering process tends to shift from physical boundaries to controller generation. As an attempt to automatize this process, Evolutionary Robotics has successfully been used to generate robotic controllers of various types. However, a major challenge of the field remains the evolution of truly complex behavior. Furthermore, automatically created controllers often lack analyzability which makes them useless for safety-critical applications. In this book, a simple controller model based on Finite State Machines is proposed which allows a straightforward analysis of evolved behaviors. To increase the model's evolvability, a procedure is introduced which, by adapting the genotype-phenotype mapping at runtime, efficiently traverses both the behavioral search space as well as (recursively) the search space of genotype-phenotype mappings. Furthermore, a data-driven mathematical framework is proposed which can be used to calculate the expected success of evolution in complex environments.

Evolutionary Robotics

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Publisher : MIT Press
ISBN 13 : 9780262140706
Total Pages : 338 pages
Book Rating : 4.05/5 ( download)

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Book Synopsis Evolutionary Robotics by : Stefano Nolfi

Download or read book Evolutionary Robotics written by Stefano Nolfi and published by MIT Press. This book was released on 2000 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the basic concepts and methodologies of evolutionary robotics, which views robots as autonomous artificial organisms that develop their own skills in close interaction with the environment and without human intervention.

New Horizons in Evolutionary Robotics

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Publisher : Springer
ISBN 13 : 3642182720
Total Pages : 228 pages
Book Rating : 4.23/5 ( download)

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Book Synopsis New Horizons in Evolutionary Robotics by : Stéphane Doncieux

Download or read book New Horizons in Evolutionary Robotics written by Stéphane Doncieux and published by Springer. This book was released on 2011-02-14 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Algorithms (EAs) now provide mature optimization tools that have successfully been applied to many problems, from designing antennas to complete robots, and provided many human-competitive results. In robotics, the integration of EAs within the engineer’s toolbox made tremendous progress in the last 20 years and proposes new methods to address challenging problems in various setups: modular robotics, swarm robotics, robotics with non-conventional mechanics (e.g. high redundancy, dynamic motion, multi-modality), etc. This book takes its roots in the workshop on "New Horizons in Evolutionary Design of Robots" that brought together researchers from Computer Science and Robotics during the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2009) in Saint Louis (USA). This book features extended contributions from the workshop, thus providing various examples of current problems and applications, with a special emphasis on the link between Computer Science and Robotics. It also provides a comprehensive and up-to-date introduction to Evolutionary Robotics after 20 years of maturation as well as thoughts and considerations from several major actors in the field. This book offers a comprehensive introduction to the current trends and challenges in Evolutionary Robotics for the next decade.

Evolutionary Robotics. From Intelligent Robotics to Artificial Life

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Publisher : Springer
ISBN 13 : 3540455027
Total Pages : 149 pages
Book Rating : 4.28/5 ( download)

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Book Synopsis Evolutionary Robotics. From Intelligent Robotics to Artificial Life by : Takashi Gomi

Download or read book Evolutionary Robotics. From Intelligent Robotics to Artificial Life written by Takashi Gomi and published by Springer. This book was released on 2003-06-30 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Symposium on Evolutionary Robotics, ER 2001, held in Tokyo, Japan, in October 2001. The seven revised full papers by the invited speakers Rodney A. Brooks, Dario Floreano, Robert J. Full, Inman Harvey, Owen Holland, Francesco Mondada, and Jordan B. Pollack were carefully selected and revised for presentation in the book. Among the topics addressed are imitation of life and machine consciousness, autonomous vision-based robots, evolved robots, living machines, artificial evolution, bioinspired artificial life locomotion, and mobile robotic systems engineering.

Evolutionary Computation for Modeling and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387319093
Total Pages : 578 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Evolutionary Computation for Modeling and Optimization by : Daniel Ashlock

Download or read book Evolutionary Computation for Modeling and Optimization written by Daniel Ashlock and published by Springer Science & Business Media. This book was released on 2006-04-04 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concentrates on developing intuition about evolutionary computation and problem solving skills and tool sets. Lots of applications and test problems, including a biotechnology chapter.

Parallel Problem Solving from Nature -- PPSN XIII

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Publisher : Springer
ISBN 13 : 3319107623
Total Pages : 977 pages
Book Rating : 4.22/5 ( download)

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Book Synopsis Parallel Problem Solving from Nature -- PPSN XIII by : Thomas Bartz-Beielstein

Download or read book Parallel Problem Solving from Nature -- PPSN XIII written by Thomas Bartz-Beielstein and published by Springer. This book was released on 2014-09-11 with total page 977 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference on Parallel Problem Solving from Nature, PPSN 2013, held in Ljubljana, Slovenia, in September 2014. The total of 90 revised full papers were carefully reviewed and selected from 217 submissions. The meeting began with 7 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN XIII also included 9 tutorials. The papers are organized in topical sections on adaption, self-adaption and parameter tuning; classifier system, differential evolution and swarm intelligence; coevolution and artificial immune systems; constraint handling; dynamic and uncertain environments; estimation of distribution algorithms and metamodelling; genetic programming; multi-objective optimisation; parallel algorithms and hardware implementations; real world applications; and theory.

Computational Modeling and Simulation of Intellect: Current State and Future Perspectives

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Publisher : IGI Global
ISBN 13 : 1609605527
Total Pages : 686 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Computational Modeling and Simulation of Intellect: Current State and Future Perspectives by : Igelnik, Boris

Download or read book Computational Modeling and Simulation of Intellect: Current State and Future Perspectives written by Igelnik, Boris and published by IGI Global. This book was released on 2011-05-31 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book confronts the problem of meaning by fusing together methods specific to different fields and exploring the computational efficiency and scalability of these methods"--Provided by publisher.

Multi-Objective Optimization in Computational Intelligence: Theory and Practice

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Publisher : IGI Global
ISBN 13 : 1599045001
Total Pages : 496 pages
Book Rating : 4.09/5 ( download)

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Book Synopsis Multi-Objective Optimization in Computational Intelligence: Theory and Practice by : Thu Bui, Lam

Download or read book Multi-Objective Optimization in Computational Intelligence: Theory and Practice written by Thu Bui, Lam and published by IGI Global. This book was released on 2008-05-31 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.