Papers
10
Total Citations
603
H-Index
9
About
Eulalie Coevoet is a pioneering researcher at the intersection of soft robotics, computational mechanics, and real-time control systems. Her work centers on developing mathematically rigorous frameworks that bridge the gap between the physical complexity of soft robots and the practical demands of real-time control — a challenge that has long limited the field's potential. Coevoet's most influential contribution is her development of finite element method (FEM)-based simulation and inverse modeling tools for soft robots, most notably realized through a widely adopted software toolkit (231 citations) that provides researchers with unified methods for kinematics, dynamics, and control. Her 2015 work on asynchronous FEM control (124 citations) demonstrated that high-fidelity deformable body simulations could operate under strict real-time constraints — a breakthrough that made physics-based soft robot control practically viable. Her optimization-based inverse modeling approach (102 citations) further extended this to robots interacting with complex environments. Beyond foundational theory, Coevoet has applied these methods to impactful medical robotics challenges, including prostate biopsy assistance and autonomous coronary guidewire navigation. With over 600 cumulative citations, her research has meaningfully shaped how the soft robotics community approaches modeling, simulation, and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Software toolkit for modeling, simulation, and control of soft robots231 citations · 2017
- 2Real-time control of soft-robots using asynchronous finite element modeling124 citations · 2015
- 3Optimization-Based Inverse Model of Soft Robots With Contact Handling102 citations · 2017
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- 8Automated Planning for Robotic Guidewire Navigation in the Coronary Arteries14 citations · 2022
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- 10Constraint-based Simulation of Passive Suction Cups3 citations · 2022