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Author: Stefano Nolfi
Publisher: MIT Press
ISBN: 9780262140706
Category : Computers
Languages : en
Pages : 338
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Book Description
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.
Author: Stefano Nolfi
Publisher: MIT Press
ISBN: 9780262140706
Category : Computers
Languages : en
Pages : 338
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Book Description
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.
Author: Lingfeng Wang
Publisher: World Scientific
ISBN: 9812773142
Category : Technology & Engineering
Languages : en
Pages : 267
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Book Description
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.
Author: Vito Trianni
Publisher: Springer Science & Business Media
ISBN: 3540776117
Category : Technology & Engineering
Languages : en
Pages : 192
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Book Description
In this book the use of ER techniques for the design of self-organising group behaviours, for both simulated and real robots is introduced. The book tries to mediate between two apparently opposed perspectives: engineering and cognitive science. The experiments presented in the book and the results obtained contribute to the assessment of ER not only as a design tool, but also as a methodology for modelling and understanding intelligent adaptive behaviours.
Author: Malachy Eaton
Publisher: Springer
ISBN: 3662445999
Category : Computers
Languages : en
Pages : 151
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Book Description
This book examines how two distinct strands of research on autonomous robots, evolutionary robotics and humanoid robot research, are converging. The book will be valuable for researchers and postgraduate students working in the areas of evolutionary robotics and bio-inspired computing.
Author: Federico Moran
Publisher: Springer Science & Business Media
ISBN: 9783540594963
Category : Computers
Languages : en
Pages : 984
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Book Description
This volume contains 71 revised refereed papers, including seven invited surveys, presented during the Third European Conference on Artificial Life, ECAL '95, held in Granada, Spain in June 1995. Originally AL was concerned with applying biologically inspired solutions to technology and with examining computational expertise in order to reproduce and understand life processes. Despite its short history, AL now is becoming a mature scientific field. The volume reports the state of the art in this exciting area of research; there are sections on foundations and epistemology, origins of life and evolution, adaptive and cognitive systems, artificial worlds, robotics and emulation of animal behavior, societies and collective behavior, biocomputing, and applications and common tools.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 166
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Book Description
1: Evolutionary robotics: Introduces the core principles and evolution of autonomous robotic systems, emphasizing how robots can evolve through trial and error, similar to natural selection. 2: Evolutionary computation: Explains the computational techniques inspired by evolutionary biology, such as genetic algorithms, used to solve complex optimization problems in robotics. 3: Neuroevolution of augmenting topologies: Discusses a groundbreaking approach where neural networks evolve, including both structure and weights, to optimize robotic performance. 4: Neuroevolution: Explores the process of evolving artificial neural networks to enhance the capabilities of robots, focusing on their learning and adaptability. 5: Evolvable hardware: Delivers an overview of hardware systems that evolve in response to changing environmental conditions, bringing evolutionary concepts into physical robotic systems. 6: Sbot mobile robot: Examines the Sbot mobile robot, a key example of how evolutionary robotics techniques have been applied to realworld robotic platforms. 7: Dario Floreano: Highlights the contributions of Dario Floreano, a leading researcher in evolutionary robotics, whose work has significantly shaped the field. 8: Inman Harvey: Explores the research of Inman Harvey and his innovative approaches in the integration of evolutionary algorithms with robotic systems. 9: Phil Husbands: Focuses on the work of Phil Husbands in the area of autonomous robot behavior and his contributions to the application of evolutionary methods in robotics. 10: Stefano Nolfi: Investigates Stefano Nolfi's contributions to neuroevolution and his work on creating robots that learn and evolve in dynamic environments. 11: Neurorobotics: Covers the exciting field of neurorobotics, where robotics and neuroscience converge to develop robots that can mimic biological intelligence. 12: Artificial development: Describes the emerging field of artificial development, where evolutionary and developmental principles are applied to create more complex, adaptive robotic systems. 13: HyperNEAT: Introduces the HyperNEAT framework, an advanced method for evolving neural networks that generate complex robotic behaviors and structures. 14: Morphogenetic robotics: Focuses on morphogenetic robotics, where robots selforganize and adapt their physical forms through evolutionary processes. 15: Evolutionary developmental robotics: Examines how combining evolutionary algorithms with developmental robotics leads to the creation of robots that grow and learn over time. 16: Dave Cliff (computer scientist): Discusses the work of Dave Cliff, whose research in artificial life and evolutionary algorithms has influenced the development of adaptive robots. 17: Artificial life: Explores the relationship between artificial life and robotics, discussing how creating lifelike behavior in robots can lead to more intelligent systems. 18: Jordan Pollack: Highlights Jordan Pollack’s work in artificial evolution, particularly in relation to developing systems that mimic natural processes to improve robotic performance. 19: Sabine Hauert: Focuses on Sabine Hauert’s contributions to multirobot systems and how evolutionary principles can improve collaborative robot behavior. 20: Pavan Ramdya: Explores the work of Pavan Ramdya, whose research in robotics and neurobiology integrates the study of movement and behavior in autonomous robots. 21: Genetic programming: Concludes with a look at genetic programming, a method used to evolve programs that control robot behavior, facilitating automation in complex tasks.
Author: Tiwari, Ritu
Publisher: IGI Global
ISBN: 1466620757
Category : Technology & Engineering
Languages : en
Pages : 320
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Book Description
Robotics is an ever-expanding field and intelligent planning continues to play a major role. Given that the intention of mobile robots is to carry out tasks independent from human aid, robot intelligence is needed to make and plan out decisions based on various sensors. Planning is the fundamental activity that implements this intelligence into the mobile robots to complete such tasks. Understanding problems, challenges, and solutions to path planning and how it fits in is important to the realm of robotics. Intelligent Planning for Mobile Robotics: Algorithmic Approaches presents content coverage on the basics of artificial intelligence, search problems, and soft computing approaches. This collection of research provides insight on both robotics and basic algorithms and could serve as a reference book for courses related to robotics, special topics in AI, planning, applied soft computing, applied AI, and applied evolutionary computing. It is an ideal choice for research students, scholars, and professors alike.
Author: Stéphane Doncieux
Publisher: Springer
ISBN: 3642182720
Category : Technology & Engineering
Languages : en
Pages : 228
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Book Description
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.
Author: Dario Floreano
Publisher: MIT Press
ISBN: 0262547732
Category : Computers
Languages : en
Pages : 674
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Book Description
A comprehensive introduction to new approaches in artificial intelligence and robotics that are inspired by self-organizing biological processes and structures. New approaches to artificial intelligence spring from the idea that intelligence emerges as much from cells, bodies, and societies as it does from evolution, development, and learning. Traditionally, artificial intelligence has been concerned with reproducing the abilities of human brains; newer approaches take inspiration from a wider range of biological structures that that are capable of autonomous self-organization. Examples of these new approaches include evolutionary computation and evolutionary electronics, artificial neural networks, immune systems, biorobotics, and swarm intelligence—to mention only a few. This book offers a comprehensive introduction to the emerging field of biologically inspired artificial intelligence that can be used as an upper-level text or as a reference for researchers. Each chapter presents computational approaches inspired by a different biological system; each begins with background information about the biological system and then proceeds to develop computational models that make use of biological concepts. The chapters cover evolutionary computation and electronics; cellular systems; neural systems, including neuromorphic engineering; developmental systems; immune systems; behavioral systems—including several approaches to robotics, including behavior-based, bio-mimetic, epigenetic, and evolutionary robots; and collective systems, including swarm robotics as well as cooperative and competitive co-evolving systems. Chapters end with a concluding overview and suggested reading.
Author: Lukas König
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110409186
Category : Technology & Engineering
Languages : en
Pages : 239
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Book Description
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.
