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» Explanation-Based Neural Network Learning for Robot Control
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138
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GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
15 years 2 months ago
Self-adaptive constructivism in Neural XCS and XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull, Pier Luca Lanzi
110
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IJCNN
2007
IEEE
15 years 8 months ago
Encoding Complete Body Models Enables Task Dependent Optimal Behavior
— Many neural network models of (human) motor learning focus on the acquisition of direct goal-to-action mappings, which results in rather inflexible motor control programs. We ...
Oliver Herbort, Martin V. Butz
127
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ICRA
2006
IEEE
210views Robotics» more  ICRA 2006»
15 years 8 months ago
Programmable Central Pattern Generators: an Application to Biped Locomotion Control
— We present a system of coupled nonlinear oscillators to be used as programmable central pattern generators, and apply it to control the locomotion of a humanoid robot. Central ...
Ludovic Righetti, Auke Jan Ijspeert
ICPR
2004
IEEE
16 years 3 months ago
Periodic Nonlinear Principal Component Neural Networks for Humanoid Motion Segmentation, Generalization, and Generation
In an experiment with a soccer playing robot, periodic temporally-constrained nonlinear principal component neural networks (NLPCNNs) are shown to characterize humanoid motion eff...
Karl F. MacDorman, Rawichote Chalodhorn, Minoru As...