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Data-driven Model Reduction for Soft Robots via Lagrangian Operator Inference.
Harsh Sharma
Iman Adibnazari
Jacobo Cervera-Torralba
Michael Thomas Tolley
Boris Kramer
Published in:
CoRR (2024)
Keyphrases
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data driven
mathematical model
statistical model
similarity measure
formal model
computational model
genetic algorithm
neural network
management system
bayesian inference
theoretical framework
probability distribution
probabilistic model
mobile robot
hidden markov models
prior knowledge
optimal solution