Papers

18

Total Citations

343

H-Index

10

About

Mehrnoosh Askarpour is a prominent researcher specializing in formal verification, safety analysis, and human-robot collaboration (HRC), whose work sits at the critical intersection of robotics, software engineering, and safety-critical systems. Her research has made substantial contributions to ensuring the safety and reliability of collaborative robotic applications, particularly in environments where humans and robots share workspaces. Her landmark 2019 paper on automated formal verification for collaborative robotics has garnered 71 citations, while her complementary work modeling human erroneous behavior for safety analysis has earned 62 citations — reflecting the field's recognition of her methodological innovations. Askarpour's SAFER-HRC framework, introduced in 2016, established foundational approaches that continue to influence how researchers and engineers assess risk in HRC settings. Beyond industrial robotics, she has extended her expertise to healthcare scenarios and mobile service robots, addressing mission specification and self-adaptation challenges through projects like RoboMAX. Her model-driven development and deployment frameworks bridge the gap between formal verification theory and real-world robotic applications. With over 300 cumulative citations, Askarpour's body of work offers students and researchers an indispensable roadmap for building provably safe, human-centered robotic systems across diverse domains.

Research Focus

Key Achievements

10
H-Index
18
Papers
343
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Safety Assessment of Collaborative Robotics Through Automated Formal Verification
71 citations · 2019
📈 Most Prolific Year: 2020 (7 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: Politecnico di Milano, National Research Council, McMaster University, University of Bern

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago