Papers

3

Total Citations

33

H-Index

2

About

Mario Di Nardo is a leading researcher at the intersection of industrial safety and digital transformation, whose work is shaping the safe adoption of Industry 4.0 technologies. His primary research areas include collaborative robotics (cobots) risk assessment and the strategic selection of digital technologies for manufacturing. Di Nardo’s most impactful contribution is his development of a novel cobot risk assessment framework that combines Failure Mode and Effects Analysis (FMEA) with the Proportional Risk Assessment Technique (PRAT). This work, published in 2022 and garnering 22 citations, directly addresses the critical safety challenges posed by human-robot collaboration in shared workspaces without traditional safety fences. Beyond safety, he has pioneered hybrid fuzzy decision-making frameworks for selecting digital technologies, with his 2024 paper on the topic receiving 9 citations. His research provides manufacturers with robust, data-driven tools to navigate the complex digital revolution, particularly in the automotive sector. By bridging the gap between operational safety and technological adoption, Di Nardo is helping to define the standards for a safer, more efficient industrial future.

Research Focus

Key Achievements

2
H-Index
3
Papers
33
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Exploring a cobot risk assessment approach combining FMEA and PRAT
22 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Federico II University Hospital, University of Naples Federico II

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago