MAURIZIO VALLE

Smart tactile sensing system has been a subject of research in many application domains such as prosthetics and robotics. Embedding signal pre-processing methods (i.e., filters) along with processing algorithms (i.e., machine learning) into miniaturized electronic units enhance the extraction of high-bandwidth information (e.g., slippage...

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Tactile sensors are widely employed to enable the sense of touch for applications such as robotics and prosthetics. In addition to the selection of an appropriate sensing material, the performance of the tactile sensing system is conditioned by its interface electronic system. On the other hand, due to the need to embed the tactile sensing...

Tactile feedback is relevant in a broad range of human–machine interaction systems (e.g. teleoperation, virtual reality and prosthetics). The available tactile feedback interfaces comprise few sensing and stimulation units, which limits the amount of information conveyed to the user. The present study describes a novel technology that relies on...

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This paper presents a high linearity, wide dynamic range, calibration-less readout circuit for metal oxide resistive gas sensors. The proposed interface is based on resistance-to-time conversion. Such conversion represents a suitable signal conditioning to interface resistive sensors varying over a wide range. The output waveform of time-based...

This paper presents a neuromorphic computing model that classifies material textures using a neural coding scheme based on threshold encoding. The proposed threshold encoding converts raw tactile data of each texture into an eventbased data highlighting the spatio-temporal features needed to recognize human touch. Achieved results show that the...

Modern prosthetic arms and hands are sophisticated robotic devices that can provide some of the motor functions lost due to an amputation. However, none of the commonly used commercial systems restores somatosensory feedback to its user. In principle, the latter can be achieved by recording data from prosthesis sensors and conveying this...

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