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Mark Leone

2 accepted papers

2026

Graph Neural Model Predictive Control for High-Dimensional Systems

ICRA 2026poster

The control of high-dimensional systems, such as soft robots, requires models that faithfully capture complex dynamics while remaining computationally tractable. This work presents a framework that integrates Graph Neural Network (GNN)-based dynamics models with structure-exploiting Model Predictive…

2026

Learning Actuator-Aware Spectral Submanifolds for Precise Control of Continuum Robots

ICRA 2026poster

Continuum robots exhibit high-dimensional, nonlinear dynamics which are often coupled with their actuation mechanism. Spectral submanifold (SSM) reduction has emerged as a leading method for reducing high-dimensional nonlinear dynamical systems to low-dimensional invariant manifolds. Our proposed co…