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Varun Shankar

2 accepted papers

2026

Neural Operators for Design-Space Surrogate Modeling of Tendon-Actuated Continuum Robots

ICRA 2026poster

Continuum robots enable dexterous manipulation in constrained environments, but require accurate and efficient models for real-time manipulation and control. Traditional physics-based models can be computationally expensive and may suffer from inaccuracies due to unmodeled effects, while current lea…

2022

Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations

NeurIPS 2022accept

Physics-informed neural networks (PINNs) are neural networks trained by using physical laws in the form of partial differential equations (PDEs) as soft constraints. We present a new technique for the accelerated training of PINNs that combines modern scientific computing techniques with machine lea…