Papers
18
Total Citations
953
H-Index
11
About
Olivier Goury is a pioneering researcher in soft robotics, specializing in computational modeling, real-time simulation, control, and sensing for soft deformable robots. His work addresses one of the field's most fundamental challenges: bridging the gap between the mechanical complexity of soft robots and the computational demands of real-time control. His landmark contributions include the development of model order reduction techniques that dramatically accelerate finite element simulations, enabling accurate yet computationally efficient control of soft robots — a breakthrough detailed in his widely cited 2018 paper (227 citations). Alongside this, his 2017 software toolkit paper (231 citations) provided the community with practical, unified tools for modeling, simulation, and control, lowering barriers for researchers worldwide. Goury has further advanced the field through innovative work on sensor fusion for force and shape estimation, self-collision handling, anisotropic 3D-printed soft structures, and pneumatic mechanosensing. His inclusion in the 2022 Soft Robotics Roadmap (105 citations) underscores his recognized standing in shaping the field's future directions. With a body of work accumulating nearly 1,000 citations, Goury's research has had a substantial and lasting impact on how soft robots are designed, modeled, and controlled.
Research Focus
Key Achievements
Top Papers
- 1Software toolkit for modeling, simulation, and control of soft robots231 citations · 2017
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- 10Modeling Novel Soft Mechanosensors Based on Air-Flow Measurements24 citations · 2019