most citedLagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

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cs.RO2024

Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference

Harsh Sharma, Iman Adibnazari, Jacobo Cervera-Torralba +2

Data-driven model reduction methods provide a nonintrusive way of constructing computationally efficient surrogates of high-fidelity models for real-time control of soft robots. Th…