Cantitate/Preț
Produs

Biologically Inspired Robot Behavior Engineering: Studies in Fuzziness and Soft Computing, cartea 109

Editat de Richard J. Duro, Jose Santos, Manuel Grana
en Limba Engleză Hardback – 22 oct 2002
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 93297 lei  43-57 zile
  Physica-Verlag HD – 21 oct 2010 93297 lei  43-57 zile
Hardback (1) 93913 lei  43-57 zile
  Physica-Verlag HD – 22 oct 2002 93913 lei  43-57 zile

Din seria Studies in Fuzziness and Soft Computing

Preț: 93913 lei

Preț vechi: 114528 lei
-18% Nou

Puncte Express: 1409

Preț estimativ în valută:
17973 18669$ 14929£

Carte tipărită la comandă

Livrare economică 03-17 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783790815139
ISBN-10: 3790815136
Pagini: 460
Ilustrații: XX, 439 p.
Dimensiuni: 155 x 235 x 30 mm
Greutate: 0.82 kg
Ediția:2003
Editura: Physica-Verlag HD
Colecția Physica
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Heidelberg, Germany

Public țintă

Research

Cuprins

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.

Caracteristici

Includes supplementary material: sn.pub/extras