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» Explanation-Based Neural Network Learning for Robot Control
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1998
Springer
15 years 7 months ago
Hidden partitioning of a visual feedback-based neuro-controller
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
Jean-Philippe Urban, Jean-Luc Buessler, Julien Gre...
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 8 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
SBRN
2008
IEEE
15 years 9 months ago
Imitation Learning of an Intelligent Navigation System for Mobile Robots Using Reservoir Computing
The design of an autonomous navigation system for mobile robots can be a tough task. Noisy sensors, unstructured environments and unpredictability are among the problems which mus...
Eric A. Antonelo, Benjamin Schrauwen, Dirk Strooba...
101
Voted
ICRA
1998
IEEE
107views Robotics» more  ICRA 1998»
15 years 7 months ago
The "Feature CMAC": a Neural-Network-Based Vision System for Robotic Control
J. Carusone, Gabriele M. T. D'Eleuterio
IJCNN
2006
IEEE
15 years 9 months ago
Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces
— Biped robots based on the concept of (passive) dynamic walking are far simpler than the traditional fullycontrolled walking robots, while achieving a more natural gait and cons...
Shouyi Wang, Jelmer Braaksma, Robert Babuska, Daan...