The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses… Mehr…
The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels. From the basic motor behavior in some exotic robot architectures right through to the planning of complex behaviors or the evolution of robot control structures, the book explores different degrees and definitions of autonomous behavior. These behaviors are supported by a wide variety of modeling techniques: structural grammars, neural networks, and fuzzy logic and evolution underlies many of the development processes. Thus this text can be used by scientists and students interested in these areas and provides a general view of the field for a more general audience., Physica<
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Nr. 978-3-7908-1513-9. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00) Details...
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Duro, Richard J (Editor), and Santos, Jose (Editor), and Grana, Manuel (Editor): Biologically Inspired Robot Behavior Engineering - gebunden oder broschiert
Hard cover, New., Sewn binding. Cloth over boards. 439 p. Contains: Unspecified, Tables, black & white. Studies in Fuzziness and Soft Computing, 109., Heidelberg, [PU: Physica-Verlag]
The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses… Mehr…
The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels. From the basic motor behavior in some exotic robot architectures right through to the planning of complex behaviors or the evolution of robot control structures, the book explores different degrees and definitions of autonomous behavior. These behaviors are supported by a wide variety of modeling techniques: structural grammars, neural networks, and fuzzy logic and evolution underlies many of the development processes. Thus this text can be used by scientists and students interested in these areas and provides a general view of the field for a more general audience., Physica<
Nr. 978-3-7908-1513-9. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
Duro, Richard J (Editor), and Santos, Jose (Editor), and Grana, Manuel (Editor): Biologically Inspired Robot Behavior Engineering - gebunden oder broschiert
Hard cover, New., Sewn binding. Cloth over boards. 439 p. Contains: Unspecified, Tables, black & white. Studies in Fuzziness and Soft Computing, 109., Heidelberg, [PU: Physica-Verlag]
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The book presents an overview of current research on biologically inspired autonomous robotics from the perspective of some of the most relevant researchers in this area. The book crosses several boundaries in the field of robotics and the closely related field of artificial life. The key aim throughout the book is to obtain autonomy at different levels. From the basic motor behavior in some exotic robot architectures right through to the planning of complex behaviors or the evolution of robot control structures, the book explores different degrees and definitions of autonomous behavior. These behaviors are supported by a wide variety of modeling techniques: structural grammars, neural networks, and fuzzy logic and evolution underlies many of the development processes. Thus this text can be used by scientists and students interested in these areas and provides a general view of the field for a more general audience.
Detailangaben zum Buch - Biologically Inspired Robot Behavior Engineering
EAN (ISBN-13): 9783790815139 ISBN (ISBN-10): 3790815136 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2002 Herausgeber: Physica-Verlag HD 460 Seiten Gewicht: 0,847 kg Sprache: eng/Englisch
Buch in der Datenbank seit 2008-01-25T12:56:10+01:00 (Berlin) Detailseite zuletzt geändert am 2024-02-10T06:32:27+01:00 (Berlin) ISBN/EAN: 3790815136
ISBN - alternative Schreibweisen: 3-7908-1513-6, 978-3-7908-1513-9 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: manu rich Titel des Buches: robot, soft oft, engineering, biologically inspired robots, soft computing
Daten vom Verlag:
Autor/in: Richard J. Duro; Jose Santos; Manuel Grana Titel: Studies in Fuzziness and Soft Computing; Biologically Inspired Robot Behavior Engineering Verlag: Physica; Physica 439 Seiten Erscheinungsjahr: 2002-10-22 Heidelberg; DE Sprache: Englisch 160,49 € (DE) 164,99 € (AT) 177,00 CHF (CH) Available XX, 439 p.
1. Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots.- 2. Behavior coordination and its modification on monkey-type mobile robot.- 3. Visuomotor control in flies and behavior-based agents.- 4. Using evolutionary methods to parameterize neural models: a study of the lamprey central pattern generator.- 5. Biologically inspired neural network approaches to real-time collision-free robot motion planning.- 6. Self-adapting neural networks for mobile robots.- 7. Evolving robots able to integrate sensory-motor information over time.- 8. A non-computationally-intensive neurocontroller for autonomous mobile robot navigation.- 9. Some approaches for reusing behaviour based robot cognitive architectures obtained through evolution.- 10. Modular neural architectures for robotics.- 11. Designing neural control architectures for an autonomous robot using vision to solve complex learning tasks.- 12. Robust estimation of the optical flow based on VQ-BF.- 13. Steps towards one-shot vision-based self-localization.- 14. Computing the optimal trajectory of arm movement: the TOPS (Task Optimization in the Presence of Signal-dependent noise) model.- 15. A general learning approach to visually guided 3D-positioning and pose control of robot arms. Includes supplementary material: sn.pub/extras
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