Abel is conceived to be a research platform for social interaction, emotion modeling, and studies on embodied intelligence. The robotics platform can implement and test theories coming from neuroscience, psychology and sociology, with very promising applications in therapy and diagnosis of mental illness, learning disabilities, autism spectrum, and dementia.
Federated learning has been introduced for preserving data privacy. We are developing a framework and specific algorithms for enabling federated learning of explainable AI models.
We are developing algorithms for learning from data accurate models, such as decision trees and rule-based systems, which are explainable by design.
In the not-too-distant future, we may perhaps be able to print ourselves an iPad or a smartphone, using a simple inkjet printer and a sheet of paper.
We develop devices, based on silicon which is cheap and biocompatible, that exploit nanostructuration to achieve an efficient thermal-to-electrical conversion efficiency.
Reflecting Intelligent surfaces is a novel technology based on metasurfaces which been recently proposed as a solution for 6G communication networks and Radar Cross Section (RCS) control.
Humans can understand and interact with “intelligent” soft robotic systems reproducing human ability to smoothly operate in the environment, thanks to advanced haptic sensors and interfaces to measure and display physical contact information.
We envision a radically new technology for in-vivo bioresorbable sensing of analytes of clinical interest where optical devices, power and light sources, synthetic receptors - made out of materials that completely dissolve with biologically benign byproducts in biofluids - will be developed and integrated together into an optoelectronic sensing system.
Our research investigates the interplay between DTs and networks under different perspectives: to replicate a network itself and to instantiate DTs in an effective and scalable fashion. Another research activity focuses on DTs of cyber-physical systems.
Teams of heterogeneous robots capable of intelligently operate in (at least partially) unknown, not structured, dynamical and not predictable scenarios.
Industry 5.0 requires a combination of advanced security technologies and robust security protocols, as well as ongoing monitoring and risk management to detect and respond to potential threats.
Speech processing can extract audio features characterizing specifically each speaker. These features describe temporal intonation, e.g. prosody, or voice quality characteristics.
Wireless communication environments that are optimized for signal propagation using advanced technologies such as reconfigurable surfaces
Network softwarization involves the use of several key technologies, including network functions virtualization (NFV) and software-defined networking (SDN)
Extremely high bandwidths, allowing for data transfer rates that are orders of magnitude faster than current wireless technologies, while guaranteeing deterministic performance in terms of reliability and latency.
Research for a self-sustaining, intelligent network, virtually interacting with every aspect of our daily lives
We develop new sensing technologies for the monitoring of human body motions, that can be applied to organs and to surfaces in general. Specifically, it can be adapted to a wide range of different applications from the monitoring of intestine motility to the recognition of hand gestures.
Future systems for human-machine interaction will be improved both in the design and in the working phases by improved models of human affective state and behaviour.
The metabolic chamber represents an indispensable element for research on human energy metabolism in both normal and pathological conditions.
We propose the usage of a wearable haptic interface for softness rendering as a lump display. The device is integrated in a teleoperation architecture that simulates a robot-assisted surgical palpation task of leiomyomas.
We developed an approach that allows, for the first time, to modulate the perceived softness of real objects using a Feel-through wearable that uses a thin fabric as interaction surface.