Short-term memory mechanisms in neural network learning of robot navigation tasks: A case study

@article{Freire2009ShorttermMM,
  title={Short-term memory mechanisms in neural network learning of robot navigation tasks: A case study},
  author={Ananda L. Freire and Guilherme De A. Barreto and Marcus V. D. Veloso and Ant{\^o}nio Themoteo Varela},
  journal={2009 6th Latin American Robotics Symposium (LARS 2009)},
  year={2009},
  pages={1-6}
}
This paper reports results of an investigation on the degree of influence of short-term memory mechanisms on the performance of neural classifiers when applied to robot navigation tasks. In particular, we deal with the well-known strategy of navigating by “wall-following”. For this purpose, four standard neural architectures (Logistic Perceptron, Multilayer Percep-tron, Mixture of Experts and Elman network) are used to associate different spatiotemporal sensory input patterns with four… CONTINUE READING
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