Marta Mondellini
Papers
5
Total Citations
38
H-Index
4
About
Marta Mondellini is a leading researcher at the intersection of human-robot interaction, industrial automation, and cognitive ergonomics. Her work focuses on designing collaborative robots (cobots) that can perceive and respond to natural human cues, making industrial tasks more intuitive and inclusive. Mondellini’s most cited study (14 citations) breaks new ground by comparing behavioral patterns of neurotypical and Autism Spectrum Disorder participants during robotic collaborative assembly, highlighting the need for inclusive cobot design. She has pioneered the use of gaze detection as a social signal to initiate joint activity in human-robot collaboration (9 citations), demonstrating how subtle eye movements can trigger adaptive robot behavior. Her research on flow state in industrial settings (7 citations) introduces multimodal analysis to detect perceived challenge and optimize operator engagement. Mondellini has also explored how a cobot’s production rhythm affects operators’ locus of control and emotional state (6 citations), revealing critical insights for designing adaptive, human-centered automation. With a growing body of work that bridges psychology, engineering, and human factors, Mondellini is shaping the future of collaborative manufacturing—making robots not just smarter, but more socially aware and responsive to diverse human needs.
Research Focus
Key Achievements
Top Papers
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