About

Irene Fassi is a prominent robotics researcher whose work spans human–robot collaboration, robot safety, and advanced manufacturing automation. Based at the Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing (STIIMA) of the Italian National Research Council, Fassi has made sustained contributions to making robotic systems safer, smarter, and more practically deployable across industrial and rehabilitative contexts. Her most influential contributions center on safety frameworks for both collaborative and rehabilitation robots. Her 2021 papers on safety assessment in rehabilitation robotics (99 citations) and safety validation standards in human–robot collaboration (98 citations) have become key reference points for researchers and practitioners navigating an evolving regulatory landscape. Earlier foundational work includes a geometrically elegant treatment of hand-to-sensor calibration (75 citations, 2005), which remains widely referenced in robot kinematics literature. Fassi's research breadth is notable: she has addressed reactive robot intelligence in smart manufacturing, robotized additive manufacturing, micro-robotic handling for PCB remanufacturing, and even custom shoe production automation. Her ongoing systematic reviews on physical human–robot interaction safety reflect a career-long commitment to bridging rigorous theory with real-world implementation. With over 400 cumulative citations across her most recognized works, Fassi represents a leading voice in making collaborative robotics both technically robust and demonstrably safe.

Research Focus

Key Achievements

13
H-Index
30
Papers
615
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Safety Assessment of Rehabilitation Robots: A Review Identifying Safety Skills and Current Knowledge Gaps
99 citations · 2021
📈 Most Prolific Year: 2021 (5 Papers)
🤝 Key Collaborators: 59
🏛 Institutions: National Research Council, National Academies of Sciences, Engineering, and Medicine, Tecnologie Avanzate (Italy), Construction Technologies Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago