About

Denis Lebel’s research bridges the cutting edge of smart manufacturing and the critical precision of healthcare pharmacy systems. His primary contributions lie in developing intelligent monitoring and data-driven diagnostics for multi-axis industrial robots, a key enabler of Industry 4.0. His most cited work, “Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations” (2022, 16 citations), introduces methods to detect and correct small axis deviations that can cascade into significant production errors. This is complemented by his foundational paper on “Health Indicator Construction for System Health Assessment in Smart Manufacturing” (2019, 12 citations), which provides a framework for ensuring high reliability and safety in automated processes. Beyond robotics, Lebel has made notable contributions to healthcare technology, including a seminal review on technology-assisted workflow systems for drug compounding (2021) and a study on barcode integration in hospital medication circuits (2009). His work demonstrates a unique ability to apply rigorous diagnostic principles across domains—from factory floors to hospital pharmacies—showcasing how smart monitoring can enhance both industrial productivity and patient safety.

Research Focus

Key Achievements

4
H-Index
5
Papers
39
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent monitoring of multi-axis robots for online diagnostics of unknown arm deviations
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Technology Assessment and Transfer (United States), Centre de Transfert de Technologie du Mans, Centre Hospitalier Universitaire Sainte-Justine

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago