farinelli
univrit
Alessandro Farinelli is full professor at the University of Verona, Department of Computer Science.
His research interests focus on the development of innovative methodologies for Artificial Intelligence systems with applications in the field of robotics. In particular, his main research topics focus on:
-- coordination of multi-agent systems
-- distributed optimization
-- reinforcement learning
-- data analysis for cyber-physical systems.
Alessandro Farinelli has been scientific responsible for several national and international research projects focused on issues related to the development of Artificial Intelligence systems. His scientific contributions target mainly international journals in the area of Artificial Intelligence (e.g., Artificial Intelligence and Journal of Artificial Intelligence Research) and intelligent robotic systems (Autonomous Robots and Robotics and Autonomous Systems). The major conferences he contributes to, both as a speaker and organizer, include the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), the International Joint Conference on Artificial Intelligence (IJCAI), and the International Conference on Intelligent Robots and Systems (IROS).
Modules running in the period selected: 47.
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| 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. |
Bioinformatics and medical informatics
Artificial intelligence |
| 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. |
Artificial 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. |
Bioinformatics and medical informatics
Artificial intelligence |
| 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. |
Artificial Intelligence
Artificial intelligence |
| Office | Collegial Body |
|---|---|
| member | Faculty Board of PhD in Computer Science - Department Computer Science |
| member | Computer Science Teaching Committee - Department Computer Science |
| member | Information 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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