Neural Systems for Robotics

Neural Systems for Robotics

Author: Omid Omidvar

Publisher: Academic Press

Published: 1997-04-10

Total Pages: 369

ISBN-13: 0125262809

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Neural Systems for Robotics represents the most up-to-date developments in the rapidly growing aplication area of neural networks, which is one of the hottest application areas for neural networks technology. The book not only contains a comprehensive study of neurocontrollers in complex Robotics systems, written by highly respected researchers in the field but outlines a novel approach to solving Robotics problems. The importance of neural networks in all aspects of Robot arm manipulators, neurocontrol, and Robotic systems is also given thorough and in-depth coverage. All researchers and students dealing with Robotics will find Neural Systems for Robotics of immense interest and assistance. Focuses on the use of neural networks in robotics-one of the hottest application areas for neural networks technology Represents the most up-to-date developments in this rapidly growing application area of neural networks Contains a new and novel approach to solving Robotics problems


Neural Networks for Control

Neural Networks for Control

Author: W. Thomas Miller

Publisher: MIT Press

Published: 1995

Total Pages: 548

ISBN-13: 9780262631617

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Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series


Multi-Locomotion Robotic Systems

Multi-Locomotion Robotic Systems

Author: Toshio Fukuda

Publisher: Springer

Published: 2012-06-15

Total Pages: 317

ISBN-13: 3642301355

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Nowadays, multiple attention have been paid on a robot working in the human living environment, such as in the field of medical, welfare, entertainment and so on. Various types of researches are being conducted actively in a variety of fields such as artificial intelligence, cognitive engineering, sensor- technology, interfaces and motion control. In the future, it is expected to realize super high functional human-like robot by integrating technologies in various fields including these types of researches. The book represents new developments and advances in the field of bio-inspired robotics research introducing the state of the art, the idea of multi-locomotion robotic system to implement the diversity of animal motion. It covers theoretical and computational aspects of Passive Dynamic Autonomous Control (PDAC), robot motion control, multi legged walking and climbing as well as brachiation focusing concrete robot systems, components and applications. In addition, gorilla type robot systems are described as hardware of Multi-Locomotion Robotic system. It is useful for students and researchers in the field of robotics in general, bio-inspired robots, multi-modal locomotion, legged walking, motion control, and humanoid robots. Furthermore, it is also of interest for lecturers and engineers in practice building systems cooperating with humans.


Mathematics of Neural Networks

Mathematics of Neural Networks

Author: Stephen W. Ellacott

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 423

ISBN-13: 1461560993

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This volume of research papers comprises the proceedings of the first International Conference on Mathematics of Neural Networks and Applications (MANNA), which was held at Lady Margaret Hall, Oxford from July 3rd to 7th, 1995 and attended by 116 people. The meeting was strongly supported and, in addition to a stimulating academic programme, it featured a delightful venue, excellent food and accommo dation, a full social programme and fine weather - all of which made for a very enjoyable week. This was the first meeting with this title and it was run under the auspices of the Universities of Huddersfield and Brighton, with sponsorship from the US Air Force (European Office of Aerospace Research and Development) and the London Math ematical Society. This enabled a very interesting and wide-ranging conference pro gramme to be offered. We sincerely thank all these organisations, USAF-EOARD, LMS, and Universities of Huddersfield and Brighton for their invaluable support. The conference organisers were John Mason (Huddersfield) and Steve Ellacott (Brighton), supported by a programme committee consisting of Nigel Allinson (UMIST), Norman Biggs (London School of Economics), Chris Bishop (Aston), David Lowe (Aston), Patrick Parks (Oxford), John Taylor (King's College, Lon don) and Kevin Warwick (Reading). The local organiser from Huddersfield was Ros Hawkins, who took responsibility for much of the administration with great efficiency and energy. The Lady Margaret Hall organisation was led by their bursar, Jeanette Griffiths, who ensured that the week was very smoothly run.


Adaptive Spatial Alignment

Adaptive Spatial Alignment

Author: Gordon M. Redding

Publisher: Psychology Press

Published: 2013-06-17

Total Pages: 205

ISBN-13: 113480234X

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For most people, prism adaptation is an amusing demonstration, first experienced perhaps in an introductory psychology course. This monograph relates this peculiar phenomenon to the larger context of cognitive science, especially motor control and learning. The first part sketches the background concepts necessary to understand the contribution of prism adaptation to the larger issue of adaptive perceptual-motor performance including: * a review of the basic concepts of motor control and learning that enable strategic response in the prism adaptation situation; * the development of a hypothesis about spatial representation and spatial mapping and an introduction to the basic idea of adaptive spatial alignment; and * a contrasting view of perceptual and motor learning and a review of evidence for the involvement of nonassociative and associative learning in prism adaptation. Directly concerned with data and theory in prism adaptation, the second part presents: * an outline of prism adaptation methodology and a list of several empirical conclusions from previous research that constrained development of theoretical framework; * a theory of strategic perceptual-motor control and learning which enables adaptive performance during prism exposure, but does not directly involve adaptive spatial alignment; * an extention of the theory to include realignment processes which correct for the spatial misalignment among sensorimotor systems produced by prisms; and * a demonstration of how traditional issues in prism adaptation may be rephrased in terms of the present theoretical framework. The last part of this volume reviews the research conducted in developing and testing the present theory of prism adaptation. It summarizes the initial investigations (employing a naturalistic exposure setting), reports some more rigorous tests with an experimentally constrained research paradigm, points out the more general theoretical issues raised by the authors' analysis of prism adaptation, and makes specific suggestions for further research within the prism adaptation paradigm.


Handwriting and Drawing Research

Handwriting and Drawing Research

Author: Marvin L. Simner

Publisher: IOS Press

Published: 1996

Total Pages: 550

ISBN-13: 9789051992809

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A collection of articles representing progress in the major areas of fundamental and applied handwriting research. Areas covered are: behavioural and cognitive science; development, education and neuroscience; computer analysis and recognition; and forensic document examination.


Neural and Synergetic Computers

Neural and Synergetic Computers

Author: Hermann Haken

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 268

ISBN-13: 3642741193

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Neural and Synergetic Computers deals with basic aspect of this rapidly developing field. Several contributions are devoted to the application of basic concepts of synergetics and dynamic systems theory to the constructionof neural computers. Further topics include statistical approaches to neural computers and their design (for example by sparse coding), perception motor control, and new types of spatial multistability in lasers.