3 citations · 5 across the 5 of their papers we have counts for
5 papers
Data-driven Output Regulation via Gaussian Processes and Luenberger Internal Models
Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi
This paper deals with the problem of adaptive output regulation for multivariable nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. Th…
Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors
Biagio Trimarchi, Lorenzo Gentilini, Fabrizio Schiano +1
The presented paper tackles the problem of modeling an unknown function, and its first derivatives, out of scattered and poor-quality data. The considered setting embraces a…
Adaptive Nonlinear Regulation via Gaussian Process
Lorenzo Gentilini, Michelangelo Bin, Lorenzo Marconi
The paper deals with the problem of output regulation of nonlinear systems by presenting a learning-based adaptive internal model-based design strategy. We borrow from the adaptive…
Direct Bézier-Based Trajectory Planner for Improved Local Exploration of Unknown Environments
Lorenzo Gentilini, Dario Mengoli, Lorenzo Marconi
Autonomous exploration is an essential capability for mobile robots, as the majority of their applications require the ability to efficiently collect information about their surrou…
UAV-Based Search and Rescue in Avalanches using ARVA: An Extremum Seeking Approach
Ilario Antonio Azzollini, Nicola Mimmo, Lorenzo Gentilini +1
This work deals with the problem of localizing a victim buried by an avalanche by means of a drone equipped with an ARVA (Appareil de Recherche de Victimes d'Avalanche) sensor. The…