About

Damien Martin-Guillerez is a researcher whose work sits at the intersection of robotics safety, human-robot interaction, and model-based risk assessment. His most significant contributions focus on developing systematic methodologies for analyzing and mitigating risks in autonomous systems, particularly service robots that operate in close physical proximity to humans — a challenge of growing importance as robotic systems become increasingly integrated into everyday environments. His most influential work, garnering 34 and 30 citations respectively, introduces structured risk analysis frameworks that leverage established modeling languages such as UML to identify potential hazards in human-robot interaction scenarios. By grounding safety analysis in deviation-based scenario modeling, Martin-Guillerez helped bridge the gap between traditional safety engineering and the unique complexities of autonomous robotics, offering practitioners accessible yet rigorous tools for real-world application. Beyond human-robot safety, his earlier research explored resilience and recovery mechanisms in autonomous robot swarms, demonstrating a broader interest in robust autonomous behavior. His repeated focus on model-based safety processes underscores a commitment to making safety analysis both systematic and practically deployable. For students and researchers working in autonomous systems design, service robotics, or safety-critical software engineering, Martin-Guillerez's contributions offer foundational methodologies that remain highly relevant as robotic autonomy continues to advance.

Research Focus

Key Achievements

3
H-Index
4
Papers
72
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Experience with Model-Based User-Centered Risk Assessment for Service Robots
34 citations · 2010
📈 Most Prolific Year: 2010 (3 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Université Toulouse III - Paul Sabatier, Université Fédérale de Toulouse Midi-Pyrénées, Institut de Recherche en Informatique et Systèmes Aléatoires

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago