Thibaut Demasure

Ghent University, Flanders Make (Belgium)

Papers

3

Total Citations

16

H-Index

3

About

Thibaut Demasure’s research lies at the intersection of robotics, automation, and digital manufacturing, with a focus on improving the efficiency and safety of reconfigurable assembly systems. His major contributions center on trajectory generation and virtual commissioning—techniques that allow engineers to estimate robotic task execution times and test control software without risking damage to physical equipment. His most cited work, “Spline-based trajectory generation to estimate execution time in a robotic assembly cell” (2022, 9 citations), introduces a method to predict cycle times with high accuracy, directly aiding production planning. In his 2022 paper on multi-level virtual commissioning (4 citations), Demasure addresses the critical challenge of software testing in flexible systems, where delays and operator injuries are common when relying solely on physical setups. His 2024 optimization-based study (3 citations) further refines task sequence timing, pushing toward fully digital twins. By combining spline mathematics with optimization, Demasure’s work helps manufacturers reduce project risks and accelerate deployment of reconfigurable cells—a key step toward Industry 4.0. His research is particularly valuable for students and engineers seeking to bridge the gap between simulation and real-world robotic performance.

Research Focus

Key Achievements

3
H-Index
3
Papers
16
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Spline-based trajectory generation to estimate execution time in a robotic assembly cell
9 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Ghent University, Flanders Make (Belgium)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago