Papers

6

Total Citations

112

H-Index

5

About

Gilles Tagne is a leading researcher in soft robotics, specializing in the modeling, control, and path planning of soft continuum manipulators. His work addresses the fundamental challenge of controlling these hyper-elastic, flexible robots—which possess infinite degrees of freedom—for real-world applications in logistics, medicine, and human collaboration. Tagne’s major contributions include developing inverse dynamics and parametric curve-based models for precise shape control, as demonstrated in his highly cited 2021 paper (30 citations) on soft continuum finger robots. He has also pioneered kinematic control methods for mobile soft manipulators navigating unstructured environments (25 citations), and introduced a PH-Gauss-Lobatto reduced-order model for efficient shape control. Beyond manipulation, Tagne has explored human-robot interaction, notably through the measurement and analysis of handshake physical parameters (25 citations), aiming to improve robots’ social acceptance. His recent work extends to system-of-systems engineering for Industry 4.0 supply chains. With over 110 total citations and a growing portfolio of innovative control strategies, Tagne is shaping the future of compliant, adaptive robotic systems.

Research Focus

Key Achievements

5
H-Index
6
Papers
112
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Inverse Dynamics Model-Based Shape Control of Soft Continuum Finger Robot Using Parametric Curve
30 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Centre National de la Recherche Scientifique, Mécanismes de Tumorigenèse et Thérapies Ciblées

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago