Neural learning of the topographic tactile sensory information of an artificial skin through a self-organizing map

@article{Pugach2015NeuralLO,
  title={Neural learning of the topographic tactile sensory information of an artificial skin through a self-organizing map},
  author={Ganna Pugach and Alex Pitti and Philippe Gaussier},
  journal={Advanced Robotics},
  year={2015},
  volume={29},
  pages={1393-1409}
}
The sense of touch is considered as an essential feature for robots in order to improve the quality of their physical and social interactions. For instance, tactile devices have to be fast enough to interact in real-time, robust against noise to process rough sensory information as well as adaptive to represent the structure and topography of a tactile sensor itself - i.e., the shape of the sensor surface and its dynamic resolution. In this paper, we conduct experiments with a self-organizing… CONTINUE READING
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