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
Top Papers
- 1SMOF: A Safety Monitoring Framework for Autonomous Systems66 citations · 2016
- 2Tuning Permissiveness of Active Safety Monitors for Autonomous Systems10 citations · 2018
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