Automated synthesis of low-rank control systems from sc-LTL specifications using tensor-train decompositions. - John Irvin Alora; Alex A. Gorodetsky; Sertac Karaman; Youssef M. Marzouk; Nathan Lowry (CDC, 2016)

Using Spectral Submanifolds for Nonlinear Periodic Control. - Florian Mahlknecht; John Irvin Alora; Shobhit Jain; Edward Schmerling; Riccardo Bonalli; George Haller; Marco Pavone 001 (CDC, 2022)

Robust Nonlinear Reduced-Order Model Predictive Control. - John Irvin Alora; Luis A. Pabon; Johannes Köhler 001; Mattia Cenedese; Edward Schmerling; Melanie N. Zeilinger; George Haller; Marco Pavone 001 (CDC, 2023)

Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots. - John Irvin Alora; Mattia Cenedese; Edward Schmerling; George Haller; Marco Pavone 001 (ICRA, 2023)

RoboMorph: In-Context Meta-Learning for Robot Dynamics Modeling. - Manuel Bianchi Bazzi; Asad Ali Shahid; Christopher Agia; John Irvin Alora; Marco Forgione; Dario Piga; Francesco Braghin; Marco Pavone 001; Loris Roveda (ICINCO (2), 2024)

Perfecting Periodic Trajectory Tracking: Model Predictive Control with a Periodic Observer (Π-MPC). - Luis A. Pabon; Johannes Köhler 001; John Irvin Alora; Patrick Benito Eberhard; Andrea Carron; Melanie N. Zeilinger; Marco Pavone 001 (IROS, 2024)

Data-Driven Soft Robot Control via Adiabatic Spectral Submanifolds. - Roshan S. Kaundinya; John Irvin Alora; Jonas G. Matt; Luis A. Pabon; Marco Pavone 001; George Haller (CoRR, 2025)

Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds. - Hugo Buurmeijer; Luis A. Pabon; John Irvin Alora; Roshan S. Kaundinya; George Haller; Marco Pavone 001 (CoRR, 2025)