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» Explanation-Based Neural Network Learning for Robot Control
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FBIT
2007
IEEE
15 years 6 months ago
Learning to Drive a Real Car in 20 Minutes
The paper describes our first experiments on Reinforcement Learning to steer a real robot car. The applied method, Neural Fitted Q Iteration (NFQ) is purely data-driven based on ...
Martin Riedmiller, Michael Montemerlo, Hendrik Dah...
IJACTAICIT
2010
237views more  IJACTAICIT 2010»
14 years 9 months ago
Path Planning of Mobile Robot Based on Modification of Vector Field Histogram using Neuro-Fuzzy Algorithm
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neu...
Ali H. Hamad, Fatima B. Ibrahim
ICANN
2007
Springer
15 years 3 months ago
The Role of Internal Oscillators for the One-Shot Learning of Complex Temporal Sequences
We present an artificial neural network used to learn online complex temporal sequences of gestures to a robot. The system is based on a simple temporal sequences learning architec...
Matthieu Lagarde, Pierre Andry, Philippe Gaussier
ECAL
2005
Springer
15 years 5 months ago
Evolving Neural Mechanisms for an Iterated Discrimination Task: A Robot Based Model
This paper is about the design of an artificial neural network to control an autonomous robot that is required to iteratively solve a discrimination task based on time-dependent s...
Elio Tuci, Christos Ampatzis, Marco Dorigo
ICRA
2008
IEEE
143views Robotics» more  ICRA 2008»
15 years 6 months ago
Pattern generators with sensory feedback for the control of quadruped locomotion
— Central Pattern Generators (CPGs) are becoming a popular model for the control of locomotion of legged robots. Biological CPGs are neural networks responsible for the generatio...
Ludovic Righetti, Auke Jan Ijspeert