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Tables of Contents for Biologically Inspired Robot Behavior Engineering
Chapter/Section Title
Page #
Page Count
Preface
v
 
Acknowledgements
xvii
 
Evolutionary approaches to neural control of rolling, walking, swimming and flying animats or robots
1
44
J. A. Meyer
S. Doncieux
D. Filliat
A. Guillot
Behavior coordination and its modification on monkey-type mobile robot
45
44
T. Fukuda
Y. Hasegawa
Visuomotor control in flies and behavior-based agents
89
30
S. A. Huber
H. H. Bulthoff
Using evolutionary methods to parameterize neural models: a study of the lamprey central pattern generator
119
24
J. Hallam
A. J. Ijspeert
Biologically inspired neural network approaches to real-time collision-free robot motion planning
143
30
S. X. Yang
Self-adapting neural networks for mobile robots
173
26
R. Salomon
Evolving robots able to integrate sensory-motor information over time
199
16
S. Nolfi
D. Marocco
A non-computationally-intensive neurocontroller for autonomous mobile robot navigation
215
24
A. Perez-Uribe
Some approaches for reusing behaviour based robot cognitive architectures obtained through evolution
239
22
R. J. Duro
J. Santos
J. A. Becerra
Modular neural architectures for robotics
261
38
J.L. Buessler
J.P. Urban
Designing neural control architectures for an autonomous robot using vision to solve complex learning tasks
299
52
A. Revel
P. Gaussier
Robust estimation of the optical flow based on VQ-BF
351
14
M. Grana
Steps towards one-shot vision-based self-localization
365
30
B. Radancanu
P. Sussner
M. Grana
Computing the optimal trajectory of arm movement: the TOPS (Task Optimization in the Presence of Signal-dependent noise) model
395
22
H. Miyamoto
D. M. Wolpert
M. Kawato
A general learning approach to visually guided 3D-positioning and pose control of robot arms
417
 
J. Zhang
A.S. Knoll