Papers

4

Total Citations

86

H-Index

3

About

Lola Masson is a leading researcher in the safety assurance of autonomous systems, with a primary focus on developing frameworks that ensure these systems operate reliably in complex, human-centric environments. Her most significant contribution is the **Safety Monitoring Framework (SMOF)** , introduced in her highly cited 2016 paper (66 citations), which provides a foundational architecture for active safety monitoring in autonomous robots. Masson’s work addresses the critical challenge of balancing system permissiveness with safety, as demonstrated in her 2018 study on tuning monitor strictness. She has pioneered methods for the **synthesis of safety rules** through interactive elicitation, applying these techniques to real-world scenarios such as airport light measurement robots (2017). Her research is instrumental in bridging the gap between theoretical safety analysis and practical deployment, particularly for robots operating in public spaces and hospitals. With a cumulative citation count exceeding 80, Masson’s contributions are essential for engineers and researchers developing trustworthy autonomous systems, establishing her as a key voice in the field of safety-critical robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
86
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
SMOF: A Safety Monitoring Framework for Autonomous Systems
66 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago