Pol Mestres

Pol Mestres

About

I am a Postdoctoral Scholar at Caltech, advised by Prof. Aaron Ames. I received my PhD in Mechanical Engineering at UC San Diego under the supervision of Prof. Jorge Cortés, and a B.Sc. in Mathematics and a B.Sc. in Engineering Physics in 2020 from the Universitat Politècnica de Catalunya, in Barcelona.

My research aims to develop decision-making architectures for autonomous systems in which safety is a formally certifiable property. To do so, I leverage tools from systems and control theory, optimization, uncertainty quantification, and AI.

Selected publications

All publications →
  1. Universal Formulas for Safe Control and their Neural Network Approximations

    P. Mestres, J. Cortés, E. D. Sontag

    Systems and Control Letters, 215 (2026), 106480 · PDF

  2. Towards Probabilistically Safe Reinforcement Learning: Theory and Deployment on Humanoid and Aerial Robots

    P. Mestres, V. Gabbita, J. H. K. Siu, S. A. Esteban, H. Serneke, J. W. Burdick, A. D. Ames

    Learning for Dynamics & Control Conference (L4DC) 2027, submitted · PDF

  3. Control Barrier Function-Based Safety Filters: Characterization of Undesired Equilibria, Unbounded Trajectories, and Limit Cycles

    P. Mestres, Y. Chen, E. Dall'Anese, J. Cortés

    Journal of Nonlinear Science, 36 (2026), 41 · PDF

  4. Safe and Dynamically-Feasible Motion Planning using Control Lyapunov and Barrier Functions

    P. Mestres, C. Nieto-Granda, J. Cortés

    IEEE Transactions on Robotics, 41 (2025), 6440–6459 · PDF

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