Francesco Setti

I'm currently Assistant Professor at the Department of Computer Science of the University of Verona working on the EU-H2020 project SARAS, and Associate Researcher of the Institute of Cognitive Science and Technology (ISTC-CNR).

I've been Post-Doc Research Fellow at the Vision, Image Processing & Sound (VIPS) Lab of the University of Verona (2015-2018) and earlier at the Laboratory for Applied Ontology of the Institute of Cognitive Science and Technology, Consiglio Nazionale delle Ricerche (ISTC-CNR), working on the project VisCoSo (2012-2015). Before, I was with the Measurement Instrumentation and Robotics Group of the University of Trento, with the PAT-EU Cofund Marie Curie Action project ABILE. I've spent 3 months at Instituto Superior Tecnico in Lisbon working with dr. Alessio Del Bue, and 1 year at Queen Mary University of London under the supervision of prof. Lourdes Agapito.

I'm a Mechatronics Engineer graduated at the University of Trento and I took my PhD in "Science, Technology and Measurements for Space" at the CISAS at the University of Padua. My background is in Computer Vision and Robotics; in particular I work on Pattern Recognition, Machine Learning and Knowledge Representation.

Download CV

My current research interests are in the application of machine learning and artificial intelligence techniques for industrial applications, with particular attention to the emerging fields of collaborative robotics and reinforcement learning for situation awareness decision making.

Active Vision

let a robot move to efficiently explore the scene and recognize objects within itsworkspace; this will allow to overcome problems like occlusions, limited field of view and limitedresolution of the cameras, and brings to learn more robust models of objects and environments.

Cognitive control

to allow a robot to perceive the environent it’s operating with, understandwhat’s happening around it, and make decisions about how to behave next; this is the foundamentalability of every autonomous cooperative robot.

Industry 4.0

to develop computer vision and machine learning techniques to process industrialdata and provide manufacturing automation with new capabilities in the field of industrial qualitycontrol, process monitoring, anomaly detection, and many others.