Papers
6
Total Citations
593
H-Index
6
About
Frederick Largilliere is a pioneering researcher in soft robotics, with a particular focus on computational modeling, simulation, and control of compliant robotic systems. His work sits at the critical intersection of finite element methods (FEM) and real-time robotics control, addressing one of the field's most pressing challenges: the lack of precise, tractable models for soft, deformable robots. Largilliere's most significant contribution is his development of FEM-based frameworks that make high-fidelity physical simulation compatible with real-time control constraints — a breakthrough that earned his 2015 paper 124 citations and his 2018 work on closed-loop kinematics 127 citations. His most celebrated achievement is the 2017 software toolkit for soft robot modeling and control, which has accumulated over 231 citations and has become a foundational reference for researchers entering the field. By deriving Jacobian matrices and inverse kinematic models directly from FEM simulations, Largilliere helped translate theoretical deformable-body mechanics into practical engineering tools. Beyond manipulation, his work extends into haptic interfaces, demonstrating how soft robotic systems can render realistic stiffness feedback for medical simulation. Collectively, his research has substantially accelerated the maturation of soft robotics as a discipline, providing the community with open, unified frameworks that bridge the gap between simulation and physical deployment.
Research Focus
Key Achievements
Top Papers
- 1Software toolkit for modeling, simulation, and control of soft robots231 citations · 2017
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- 3Real-time control of soft-robots using asynchronous finite element modeling124 citations · 2015
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