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Biologically Inspired Robot Behavior Engineering (Studies in Fuzziness and Soft Computing, 109, Band 109) - Livres de poche

2013, ISBN: 9783790825176

Springer, Taschenbuch, Auflage: Softcover reprint of the original 1st ed. 2003, 460 Seiten, Publiziert: 2013-10-04T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 263 black & white illust… Plus…

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Biologically Inspired Robot Behavior Engineering - Duro, Richard J. (Herausgeber); Grana, Manuel (Herausgeber); Santos, Jose (Herausgeber)
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Duro, Richard J. (Herausgeber); Grana, Manuel (Herausgeber); Santos, Jose (Herausgeber):

Biologically Inspired Robot Behavior Engineering - Livres de poche

2010, ISBN: 3790825174

Softcover reprint of the original 1st ed. 2003 Kartoniert / Broschiert Computermodellierung und -simulation, Künstliche Intelligenz, 3D; artificiallife; autonom; autonomousautonomouss; … Plus…

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Richard J. Duro (Editor), Jose Santos (Editor), Manuel Grana (Editor):
Biologically Inspired Robot Behavior Engineering (Studies in Fuzziness and Soft Computing) - Livres de poche

2010

ISBN: 9783790825176

Edition reliée

Physica, 2010-12-15. Softcover reprint of hardcover 1. Paperback. Used:Good., Physica, 2010-12-15, 0

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Richard J. Duro; Jose Santos; Manuel Grana:
Biologically Inspired Robot Behavior Engineering - Livres de poche

2010, ISBN: 9783790825176

Buch, Softcover, Softcover reprint of the original 1st ed. 2003, [PU: Physica], Physica, 2010

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Biologically Inspired Robot Behavior Engineering - livre d'occasion

ISBN: 9783790825176

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Biologically Inspired Robot Behavior Engineering (Studies in Fuzziness and Soft Computing, 109, Band 109)
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Titre:
ISBN:

9783790825176


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.

Informations détaillées sur le livre - Biologically Inspired Robot Behavior Engineering (Studies in Fuzziness and Soft Computing, 109, Band 109)


EAN (ISBN-13): 9783790825176
ISBN (ISBN-10): 3790825174
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Duro, Richard J. Springer
460 Pages
Poids: 0,690 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2011-09-28T07:34:54+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-06-28T09:19:06+02:00 (Zurich)
ISBN/EAN: 9783790825176

ISBN - Autres types d'écriture:
3-7908-2517-4, 978-3-7908-2517-6
Autres types d'écriture et termes associés:
Auteur du livre: manuel santos
Titre du livre: robot, biologically inspired robots

Données de l'éditeur

Auteur: Richard J. Duro; Jose Santos; Manuel Grana
Titre: Studies in Fuzziness and Soft Computing; Biologically Inspired Robot Behavior Engineering
Editeur: Physica; Physica
439 Pages
Date de parution: 2010-10-21
Heidelberg; DE
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XX, 439 p.

BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Regelungstechnik; Verstehen; 3D; artificial life; autonom; autonomous robot; autonomous robotics; biologically inspired; evolution; mobile robot; modeling; motion planning; navigation; neural network; optimization; robot; robotics; Control, Robotics, Automation; Artificial Intelligence; Computer Modelling; Künstliche Intelligenz; Computermodellierung und -simulation; BB

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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