farinelli
univrit
Alessandro Farinelli è professore ordinario presso l'Università di Verona, Dipartimento di Informatica.
I suoi interessi di ricerca si focalizzano sullo sviluppo di metodologie innovative per sistemi di Intelligenza Artificiale con applicazioni nel campo della robotica e sistemi ciberfisici. In particolare, le sue principali tematiche di ricerca si concentrano su:
-- coordinamento di sistemi multi-agente
-- ottimizzazione distribuita
-- apprendimento per rinforzo
-- analisi statistica dei dati per sistemi robotici.
Alessandro Farinelli è stato responsabile scientifico per numerosi progetti di ricerca nazionali ed internazionali focalizzati su tematiche relative allo sviluppo di sistemi di Intelligenza Artificiale. I suoi contributi scientifici si rivolgono principalmente a riviste internazionali nell'area dell'Intelligenza Artificiale (e.g., Artificial Intelligence e Journal of Artificial Intelligence Research) e sistemi robotici intelligenti (Autonomous Robots e Robotics and Autonomous Systems). Le principali conferenze cui contribuisce, sia come relatore che come organizzatore, includono International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), International Joint Conference on Artificial Intelligence (IJCAI) e International Conference on Intelligent Robots and Systems (IROS).
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MyUnivr| Topic | Description | Research area |
|---|---|---|
| Intelligent Agents | Design and development of autonomous entities that can sense, model and interact with the environment in which they operate. Main research topics include: action planning, reinforcement learning, reasoning in face of uncertainty. |
Machine Intelligence
Artificial intelligence |
| AI, Robotics & Automatic Control | Robotics is concerned with the development of systems that make the intelligent connection between perception and action. For this reason, robotics is strongly interdisciplinary, including mechanical and electronic design, computation and data fusion algorithms, machine learning and reasoning, and motion control and environment interaction methods. In the last years, robotics systems have matured in terms of safety and reliability and they can now work in delicate environments and in direct contact with people. In case of demanding cognitive tasks, robots are usually supported by a human operator, in a teleoperation mode. A well established example of teleoperation system is a surgical robot, in which a surgeon directly moves the robotic tools to carry out the intervention. A new research direction is the addition of autonomous functions to the robotic systems. To reach this goal, we need to improve the perceptual and cognitive capabilities of the robots, to interact safely with a complex real environment. Some of the research topics addressed at the University of Verona include: control and system theory, modeling and analysis of human perception, coordination of multiple-robot systems, distributed sensing and control algorithms, teleoperation algorithms, and analysis of the physical interaction of humans and robots. | Robotic systems and automation Sistemi robotici e automazione |
| Multiagent Systems | Design and development of multiagent systems, where intelligent agents can interact among them and with the environment. Main research topics include: task assignment, distributed constraint optimization, decentralized optimization, decentralized reinforcement learning, cooperative perception. |
Machine Intelligence
Artificial intelligence |
| Office | Collegial Body |
|---|---|
| PhD Commitee - Department Computer Science | |
| member | Computer Science Teaching Committee - Department Computer Science |
| member | Human Centered Medical System Engineering Teaching Committee - Department Department of Engineering for Innovation Medicine |
| member | Computer Science Department Council - Department Computer Science |
| Consiglio della Scuola di Scienze e Ingegneria | |
| department director | Academic Senate |
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