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20242026
most citedLagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems

23 citations · 23 across the 6 of their papers we have counts for

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cs.RO2025

Dynamic Shape Control of Soft Robots Enabled by Data-Driven Model Reduction

Iman Adibnazari, Harsh Sharma, Myungsun Park +3

Soft robots have shown immense promise in settings where they can leverage dynamic control of their entire bodies. However, effective dynamic shape control requires a controller th…

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…