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Author

Damian Abood

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Preprint Sep 2026

LOInK: Learned Optimal Inverse Kinematics via Structured Neural Surrogate Models

We introduce Learned Optimal Inverse Kinematics (LOInK), a method to generate approximately optimal solutions to an inverse kinematics problem. When trained on data consisting of sampled configurations and associated task variables and a given cost function, LOInK learns a bi-Lipschitz invertible mapping from configura...

Michael Somerfield, Damian Abood, Rui-Gang Wang et al. · 0 citations

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