G-BEAM: Graph-Based Exploration And Mapping for Autonomous Vehicles. - Leonardo Cecchin; Danilo Saccani; Lorenzo Fagiano (CCTA, 2021)

Autonomous UAV Navigation in an Unknown Environment via Multi-Trajectory Model Predictive Control. - Danilo Saccani; Lorenzo Fagiano (ECC, 2021)

Autonomous navigation of interconnected tethered drones in a partially known environment with obstacles. - Michele Bolognini; Danilo Saccani; Fabrizio Cirillo; Lorenzo Fagiano (CDC, 2022)

Model Predictive Control for Multi-Agent Systems Under Limited Communication and Time-Varying Network Topology. - Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger; Andrea Carron (CDC, 2023)

Multi-agent Distributed Model Predictive Control with Connectivity Constraint. - Andrea Carron; Danilo Saccani; Lorenzo Fagiano; Melanie N. Zeilinger (CoRR, 2023)

Homothetic Tube Model Predictive Control With Multi-Step Predictors. - Danilo Saccani; Giancarlo Ferrari-Trecate; Melanie N. Zeilinger; Johannes Köhler 001 (IEEE Control. Syst. Lett., 2023)

Model predictive control for constrained navigation of autonomous vehicles - Danilo Saccani (2023)

Multitrajectory Model Predictive Control for Safe UAV Navigation in an Unknown Environment. - Danilo Saccani; Leonardo Cecchin; Lorenzo Fagiano (IEEE Trans. Control. Syst. Technol., 2023)

Optimal distributed control with stability guarantees by training a network of neural closed-loop maps. - Danilo Saccani; Leonardo Massai; Luca Furieri; Giancarlo Ferrari-Trecate (CDC, 2024)

Unconstrained Learning of Networked Nonlinear Systems via Free Parametrization of Stable Interconnected Operators. - Leonardo Massai; Danilo Saccani; Luca Furieri; Giancarlo Ferrari-Trecate (ECC, 2024)

MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning. - Luca Furieri; Sucheth Shenoy; Danilo Saccani; Andrea Martin; Giancarlo Ferrari-Trecate (CoRR, 2025)