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Bridging the Communication Gap: Artificial Agents Learning Sign Language through Imitation

Autor: Tavella, Federico, Galata, Aphrodite, Cangelosi, Angelo

Artificial agents, particularly humanoid robots, interact with their environment, objects, and people using cameras, actuators, and physical presence. Their communication methods are often pre-programmed, limiting their actions and interactions. Our

Externí odkaz: http://arxiv.org/abs/2406.10043

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Akademický článek

The PANDORA project: an experimental setup for measuring in-plasma β-decays of astrophysical interest

Publikováno v: EPJ Web of Conferences, Vol 227, p 01013 (2020)

Experiments performed on Storage Rings have shown that lifetimes of beta-radionuclides can change dramatically as a function of theionization state. PANDORA (Plasmas for Astrophysics, Nuclear Decay Observation and Radiation for Archaeometry) aims at

Externí odkaz: https://doaj.org/article/a87db092a9e343f298adfe607ac870d4

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Solving Rehabilitation Scheduling problems via a Two-Phase ASP approach

Autor: Cardellini, Matteo, De Nardi, Paolo, Dodaro, Carmine, Galatà, Giuseppe, Giardini, Anna, Maratea, Marco, Porro, Ivan

A core part of the rehabilitation scheduling process consists of planning rehabilitation physiotherapy sessions for patients, by assigning proper operators to them in a certain time slot of a given day, taking into account several legal, medical and

Externí odkaz: http://arxiv.org/abs/2303.08709

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Comparing Spectroscopy Measurements in the Prediction of in Vitro Dissolution Profile using Artificial Neural Networks

Autor: Mrad, Mohamed Azouz, Csorba, Kristóf, Galata, Dorián László, Nagy, Zsombor Kristóf, Nagy, Brigitta

Dissolution testing is part of the target product quality that is essential in approving new products in the pharmaceutical industry. The prediction of the dissolution profile based on spectroscopic data is an alternative to the current destructive a

Externí odkaz: http://arxiv.org/abs/2210.10292

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Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction

Autor: Tavella, Federico, Galata, Aphrodite, Cangelosi, Angelo

Learning fine-grained movements is a challenging topic in robotics, particularly in the context of robotic hands. One specific instance of this challenge is the acquisition of fingerspelling sign language in robots. In this paper, we propose an appro

Externí odkaz: http://arxiv.org/abs/2209.05135

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