Biologically Inspired Robot Behavior Engineering

by Duro, Richard J.; Santos, Jose; Grana, Manuel

• ISBN13: 9783790815139
• ISBN10: 3790815136
• Format: Hardcover
• Copyright: 2003-01-01
• Publisher: Physica Verlag

Summary

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.

Table of Contents

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