Dynamical Interactions between Learning , Visual Attention , and Behavior : An Experiment with a Vision-Based Mobile Robot

@inproceedings{Tani1997DynamicalIB,
  title={Dynamical Interactions between Learning , Visual Attention , and Behavior : An Experiment with a Vision-Based Mobile Robot},
  author={Jun Tani and Jun Yamamoto and Hiro Nishi},
  year={1997}
}
We investigate how a vision-based robot can learn an analogical model of the environment dynamically through its behavior. We propose a cognitive architecture consisting of multiple neural network modules. The recurrent neural network (RNN) learns the sequence of events encountered incrementally as episodic memories so that the RNN can make prediction based on such sequences in the future. The visual module has two task processes to execute, namely object recognition and wall-following… CONTINUE READING
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