Maria Chiara Leva
Papers
9
Total Citations
55
H-Index
3
About
Maria Chiara Leva is a leading researcher at the intersection of human factors, industrial safety, and collaborative robotics. Her work focuses on optimizing human-robot interaction (HRI) in manufacturing, particularly within the framework of Industry 5.0. Leva’s major contributions include pioneering neuroergonomic assessments to evaluate mental workload during human-robot collaboration, as demonstrated in her highly cited 2023 study (26 citations). She has also developed safety-driven deep reinforcement learning frameworks for cobots and explored action recognition for mutual performance monitoring in human-robot teams. Her research consistently bridges the gap between human performance optimization and technological safety, addressing critical challenges in assembly lines and dynamic industrial environments. Leva’s work on collaborative programming by demonstration (CoBT) and data quality standards for collaborative intelligence further underscores her commitment to making robotics accessible and safe for non-expert users. With a growing citation impact and a portfolio that includes practical case studies in automotive plants, Leva is shaping the future of safe, efficient, and human-centered automation. Her research is essential reading for anyone interested in the human dimensions of advanced manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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- 4Human Skills Assessment as a Support to Human Factor Management3 citations · 2020
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