Francesco Setti
Institute of Cognitive Sciences and Technologies, University of Verona
Papers
24
Total Citations
440
H-Index
11
About
Francesco Setti is a versatile computer vision and robotics researcher whose work spans two compelling domains: social scene understanding and autonomous surgical robotics. His most influential contribution, "F-Formation Detection" (2015, 152 citations), established a rigorous, social-science-grounded framework for identifying conversational groups in images, becoming a landmark reference in video surveillance and social robotics communities. This foundational work demonstrates his ability to bridge human behavioral science with cutting-edge computer vision techniques. More recently, Setti has emerged as a leading voice in cognitive surgical robotics, contributing extensively to the SARAS project — a multi-robot platform for minimally invasive surgery. His team developed innovative architectures for semi-autonomous robotic assistance in operating rooms, including action segmentation systems, surgeon activity detection datasets, and statechart-based surgical process modeling. His 2022 work on pose forecasting further extends his expertise into safe human-robot collaboration in industrial environments. Collectively, his papers have accumulated hundreds of citations, reflecting genuine impact across academic and applied communities. Setti's research is particularly valuable for students interested in the intersection of perception, autonomy, and human-centered AI in safety-critical real-world settings.
Research Focus
Key Achievements
Top Papers
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- 2Pose Forecasting in Industrial Human-Robot Collaboration41 citations · 2022
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