Papers

4

Total Citations

85

H-Index

3

About

Jean-Yves Dieulot is a leading figure in the control and robotics community, whose research bridges the gap between advanced control theory and practical manufacturing. His primary contributions lie in the domains of robot control, trajectory planning for flexible structures, and precision machining. Dieulot is best known for pioneering work on using acceleration feedback to control industrial robots, a method that significantly enhances stability and performance, as evidenced by his most-cited paper (47 citations). He has also made substantial contributions to the aerospace and manufacturing sectors, developing an innovative subdivision-ICP registration method for correcting tool paths on deformed aircraft parts (26 citations), a critical advancement for automated machining. His deep analytical work on trajectory planning for flexible axes—comparing bang-bang profiles, jerk assignment, and input shapers—provides a foundational framework for vibration cancellation in oscillating systems. With a career spanning over two decades, Dieulot’s research is characterized by rigorous mathematical modeling, from Euler-Bernoulli beam dynamics to modal analysis, consistently delivering practical solutions for high-precision industrial applications.

Research Focus

Key Achievements

3
H-Index
4
Papers
85
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Control of an Industrial Robot using Acceleration Feedback
47 citations · 2006
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Laboratoire d'Automatique, Génie Informatique et Signal, École nationale supérieure d'arts et métiers

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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