163 search results - page 4 / 33 » Neural networks organizations to learn complex robotic funct... |
ICANNGA
2007
Springer
14 years 11 months ago
2007
Springer
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
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Voted
NCA
2010
IEEE
14 years 4 months ago
2010
IEEE
In this paper we address the challenge of realizing full-body behaviors in scalable modular robots. We present an experimental study of a biologically inspired approach to organize...
ICARCV
2008
IEEE
15 years 4 months ago
2008
IEEE
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
AINA
2010
IEEE
14 years 8 months ago
2010
IEEE
—This paper describes a method of linearizing the nonlinear characteristics of many sensors using an embedded neural network. The proposed method allows for complex neural networ...