ISBN: 3790815136
TITLE: Biologically Inspired Robot Behavior Engineering
AUTHOR: Duro, Santos, Graa
TOC:

Preface v
Ackowledgements xvii
Chapter 1. Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots 1
J. A. Meyer, S. Doncieux, D. Filliat and A. Guillot
Chapter 2. Behavior coordination and its modification on monkey-type mobile robot 45
T. Fukuda and Y. Hasegawa
Chapter 3. Visuomotor control in flies and behavior-based agents 89
S. A. Huber and H. H. Blthof
Chapter 4. Using evolutionary methods to parameterize neural models: a study of the lamprey central pattern generator 119
J. Hallam and A. J. Ijspeert
Chapter 5. Biologically inspired neural network approaches to real-time collision-free robot motion planning 143
S. X. Yang
Chapter 6. Self-adapting neural networks for mobile robots 173
R. Salomon
Chapter 7. Evolving robots able to integrate sensory-motor information over time 199
S. Nolfi and D. Marocco
Chapter 8. A non-computationally-intensive neurocontroller for autonomous mobile robot navigation 215
A. Prez-Uribe
Chapter 9. Some approaches for reusing behaviour based robot cognitive architectures obtained through evolution 239
R. J. Duro, J. Santos and J. A. Becerra
Chapter 10. Modular neural architectures for robotics 261
J.L. Buessler and J. P. Urban
Chapter 11. Designing neural control architectures for an autonomous robot using vision to solve complex learning tasks 299
A. Revel and P. Gaussier
Chapter 12. Robust estimation of the optical flow based on VQ-BF 351
M. Graa
Chapter 13. Steps towards one-shot vision-based self-localization 365
B. Radancanu, P. Sussner and M. Graa
Chapter 14. Computing the optimal trajectory of arm movement: the TOPS (Task Optimization in the Presence of Signal-dependent noise) model 395
H. Miyamoto, D. M. Wolpert and M. Kawato
Chapter 15. A general learning approach to visually guided 3D-positioning and pose control of robot arms 417
J. Zhang and A.S. Knoll
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