Reducing Duplicate Packets in Unicast VANET Communications. - Luis Urquiza-Aguiar; Carolina Tripp Barba; Angel Romero (PE-WASUN@MSWiM, 2015)

Mitigation of packet duplication in VANET unicast protocols. - Luis Urquiza-Aguiar; Carolina Tripp Barba; Angel Romero (Ad Hoc Networks, 2016)

Nonlinear Control of Quadcopters via Approximate Dynamic Programming. - Angel Romero; Paul N. Beuchat; Yvonne R. Stürz; Roy S. Smith; John Lygeros (ECC, 2019)

Model Predictive Contouring Control for Near-Time-Optimal Quadrotor Flight. - Angel Romero; Sihao Sun; Philipp Foehn; Davide Scaramuzza 001 (CoRR, 2021)

Time-optimal planning for quadrotor waypoint flight. - Philipp Foehn; Angel Romero; Davide Scaramuzza 001 (Sci. Robotics, 2021)

Cracking Double-Blind Review: Authorship Attribution with Deep Learning. - Leonard Bauersfeld; Angel Romero; Manasi Muglikar; Davide Scaramuzza 001 (CoRR, 2022)

Perception-Aware Perching on Powerlines With Multirotors. - Julio L. Paneque; José Ramiro Martinez de Dios; Aníbal Ollero; Drew Hanover; Sihao Sun; Angel Romero; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Time-Optimal Online Replanning for Agile Quadrotor Flight. - Angel Romero; Robert Penicka; Davide Scaramuzza 001 (IEEE Robotics Autom. Lett., 2022)

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight. - Philipp Foehn; Elia Kaufmann; Angel Romero; Robert Penicka; Sihao Sun; Leonard Bauersfeld; Thomas Laengle; Giovanni Cioffi; Yunlong Song; Antonio Loquercio; Davide Scaramuzza 001 (Sci. Robotics, 2022)

Model Predictive Contouring Control for Time-Optimal Quadrotor Flight. - Angel Romero; Sihao Sun; Philipp Foehn; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2022)

A Comparative Study of Nonlinear MPC and Differential-Flatness-Based Control for Quadrotor Agile Flight. - Sihao Sun; Angel Romero; Philipp Foehn; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2022)

Weighted Maximum Likelihood for Controller Tuning. - Angel Romero; Shreedhar Govil; Gonca Yilmaz; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2023)

Reaching the limit in autonomous racing: Optimal control versus reinforcement learning. - Yunlong Song; Angel Romero; Matthias Müller 011; Vladlen Koltun; Davide Scaramuzza 001 (Sci. Robotics, 2023)

Bootstrapping Reinforcement Learning with Imitation for Vision-Based Agile Flight. - Jiaxu Xing; Angel Romero; Leonard Bauersfeld; Davide Scaramuzza 001 (CoRL, 2024)

Actor-Critic Model Predictive Control. - Angel Romero; Yunlong Song; Davide Scaramuzza 001 (ICRA, 2024)

Learning to Walk and Fly with Adversarial Motion Priors. - Giuseppe L'Erario; Drew Hanover; Angel Romero; Yunlong Song; Gabriele Nava; Paolo Maria Viceconte; Daniele Pucci; Davide Scaramuzza 001 (IROS, 2024)

Demonstrating Agile Flight from Pixels without State Estimation. - Ismail Geles; Leonard Bauersfeld; Angel Romero; Jiaxu Xing; Davide Scaramuzza 001 (Robotics: Science and Systems, 2024)

MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints. - Maria Krinner; Angel Romero; Leonard Bauersfeld; Melanie N. Zeilinger; Andrea Carron; Davide Scaramuzza 001 (Robotics: Science and Systems, 2024)

Time-Optimal Flight with Safety Constraints and Data-driven Dynamics. - Maria Krinner; Angel Romero; Leonard Bauersfeld; Melanie N. Zeilinger; Andrea Carron; Davide Scaramuzza 001 (CoRR, 2024)

Autonomous Drone Racing: A Survey. - Drew Hanover; Antonio Loquercio; Leonard Bauersfeld; Angel Romero; Robert Penicka; Yunlong Song; Giovanni Cioffi; Elia Kaufmann; Davide Scaramuzza 001 (IEEE Trans. Robotics, 2024)

Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight. - Angel Romero; Ashwin Shenai; Ismail Geles; Elie Aljalbout; Davide Scaramuzza 001 (CoRR, 2025)

Accelerating Model-Based Reinforcement Learning with State-Space World Models. - Maria Krinner; Elie Aljalbout; Angel Romero; Davide Scaramuzza 001 (CoRR, 2025)