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Biologically Inspired Robot Behavior Engineering - nouveau livre

ISBN: 9783790815139

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… Plus…

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Biologically Inspired Robot Behavior Engineering - Livres de poche

2003, ISBN: 9783790815139

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Duro, Richard J (Editor), and Santos, Jose (Editor), and Grana, Manuel (Editor):
Biologically Inspired Robot Behavior Engineering - edition reliée, livre de poche

2002

ISBN: 9783790815139

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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Duro, Richard J. [Editor]; Santos, Jose [Editor]; Grana, Manuel [Editor];:
Biologically Inspired Robot Behavior Engineering - edition reliée, livre de poche

2002, ISBN: 9783790815139

Physica, 2002-10-22. Hardcover. New. New. In shrink wrap. Looks like an interesting title!, Physica, 2002-10-22, 6

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Biologically Inspired Robot Behavior Engineering - Duro, Richard J.
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Duro, Richard J.:
Biologically Inspired Robot Behavior Engineering - edition reliée, livre de poche

ISBN: 9783790815139

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Biologically Inspired Robot Behavior Engineering
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Titre:
ISBN:

9783790815139


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


EAN (ISBN-13): 9783790815139
ISBN (ISBN-10): 3790815136
Version reliée
Livre de poche
Date de parution: 2002
Editeur: Physica-Verlag HD
460 Pages
Poids: 0,847 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2008-01-25T12:56:10+01:00 (Paris)
Page de détail modifiée en dernier sur 2024-02-10T06:32:27+01:00 (Paris)
ISBN/EAN: 9783790815139

ISBN - Autres types d'écriture:
3-7908-1513-6, 978-3-7908-1513-9
Autres types d'écriture et termes associés:
Auteur du livre: manu rich
Titre du livre: robot, soft oft, engineering, biologically inspired robots, soft computing

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: 2002-10-22
Heidelberg; DE
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XX, 439 p.

BB; 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; EA; BC

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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