Papers

2

Total Citations

37

H-Index

2

About

Dr. Teresa Murino is a leading researcher in industrial engineering, specializing in human-robot collaboration (HRC) and risk assessment within the framework of Industry 4.0. Her work focuses on the safe and efficient integration of collaborative robots (cobots) into shared workspaces, addressing the critical challenge of eliminating safety fences while maintaining worker protection. Dr. Murino’s major contributions include developing a novel cobot risk assessment approach that combines Failure Mode and Effects Analysis (FMEA) with the Proportional Risk Assessment Technique (PRAT), a methodology that has garnered 22 citations for its practical utility. She has also pioneered the use of Mixed-Integer Linear Programming (MILP) models to optimize assembly line configurations, demonstrating how adding robots to human-operated lines can significantly reduce worker headcount while maintaining productivity—a finding with 15 citations. Her work is notable for bridging the gap between theoretical safety frameworks and real-world industrial applications, offering actionable solutions for manufacturers transitioning to collaborative automation. Dr. Murino’s research is essential reading for engineers and scholars seeking to balance productivity gains with robust safety standards in the evolving landscape of human-robot interaction.

Research Focus

Key Achievements

2
H-Index
2
Papers
37
Total Citations
19
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: 12
🏛 Institutions: Federico II University Hospital, University of Naples Federico II

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago