A Disturbance-Aware Trajectory Planning Scheme Based on Model Predictive Control. - Luca Paparusso; Navvab Kashiri; Nikos G. Tsagarakis (IEEE Robotics Autom. Lett., 2020)

A Deep-Learning Framework to Predict the Dynamics of a Human-Driven Vehicle Based on the Road Geometry. - Luca Paparusso; Stefano Melzi; Francesco Braghin (CoRR, 2021)

Fault Resistant Odometry Estimation using Message Passing Neural Network. - Pragyan Dahal; Simone Mentasti; Luca Paparusso; Stefano Arrigoni; Francesco Braghin (IV, 2023)

Competitors-Aware Stochastic Lap Strategy Optimisation for Race Hybrid Vehicles. - Luca Paparusso; Manuel Riani; Fabio Ruggeri; Francesco Braghin (IEEE Trans. Veh. Technol., 2023)

ZAPP! Zonotope Agreement of Prediction and Planning for Continuous-Time Collision Avoidance with Discrete-Time Dynamics. - Luca Paparusso; Shreyas Kousik; Edward Schmerling; Francesco Braghin; Marco Pavone 001 (ICRA, 2024)

RobustStateNet: Robust ego vehicle state estimation for Autonomous Driving. - Pragyan Dahal; Simone Mentasti; Luca Paparusso; Stefano Arrigoni; Francesco Braghin (Robotics Auton. Syst., 2024)