Vincent Modes

Leibniz University Hannover

Papers

5

Total Citations

139

H-Index

5

About

Vincent Modes is a leading researcher in the field of medical robotics, with a primary focus on the design, modeling, and control of continuum robots—particularly concentric tube robots for minimally invasive surgery. His work addresses fundamental challenges in soft and flexible robotics, including the computationally efficient learning of forward and inverse kinematics in SE(3), as demonstrated in his most-cited paper (72 citations). Modes has made significant contributions to shape sensing, developing novel methods using Fiber Bragg Gratings (FBGs) and Draw Tower Gratings in multi-core fibers to reconstruct the centerline of continuum robots under elongation, bending, and twisting—work that has garnered 30 citations. His research extends to practical surgical applications, including a teleoperated tubular continuum robot prototype for transoral laryngeal surgery, successfully tested in a porcine model (18 citations). Additionally, Modes has pioneered calibration techniques for precurved elastic tubes, addressing the unique jointless composition of continuum robots to improve accuracy (14 citations). With a total of over 139 citations across his key works, Vincent Modes is recognized for bridging theoretical modeling, sensor innovation, and clinical feasibility in continuum robotics.

Research Focus

Key Achievements

5
H-Index
5
Papers
139
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Learning the Forward and Inverse Kinematics of a 6-DOF Concentric Tube Continuum Robot in SE(3)
72 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Leibniz University Hannover

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago