AMIN Y.

Tactile sensing has become crucial in robotic applications such as teleoperation, as it gives information about the object properties that cannot be perceived by other senses. In fact, it is essential that robots are equipped with advanced touch sensing in order to be aware of their surroundings and give a feedback to an operator. Such sensing...

Tactile sensing systems require embedded processing to extract structured information in many application domains as prosthetics and robotics. In this regard, this paper proposes computationally light strategies to pre-process the sensor signals and extract features, feeding single layer feed-forward neural networks (SLFNNs) that proved good...

The deployment of the inference phase in self–standing systems, which have resource–constrained embedded units, is faced with many challenges considering computational cost of the elaboration unit. Therefore, we propose using a learning strategy based on a loss function that leads to finding the best configuration of the prediction...