activity
20222025
most citedGaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics

13 citations · 40 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2025

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems

Folco Giorgetti, Francesco Crocetti, Mario Luca Fravolini +1

In this paper, we address the problem of designing an aperiodic sampled-data controller stabilizing the zero-input equilibrium of an uncertain affine plant. The closed-loop system…

cs.RO2025★ 2 cited

Active Illumination for Visual Ego-Motion Estimation in the Dark

Francesco Crocetti, Alberto Dionigi, Raffaele Brilli +2

Visual Odometry (VO) and Visual SLAM (V-SLAM) systems often struggle in low-light and dark environments due to the lack of robust visual features. In this paper, we propose a novel…

cs.RO2023★ 13 cited

GaPT: Gaussian Process Toolkit for Online Regression with Application to Learning Quadrotor Dynamics

Francesco Crocetti, Jeffrey Mao, Alessandro Saviolo +2

Gaussian Processes (GPs) are expressive models for capturing signal statistics and expressing prediction uncertainty. As a result, the robotics community has gathered interest in l…

eess.SP2022★ 5 cited

A Robust Data-Driven Fault Diagnosis scheme based on Recursive Dempster-Shafer Combination Rule *

Cartocci N., M. R. Napolitano, G. Costante +3

In-flight sensor fault diagnosis and recursive combination of residual signals via the Dempster-Shafer (DS) theory have been considered in this study. In particular, a novel eviden…

eess.SP2022★ 11 cited

PCA Methods and Evidence Based Filtering for Robust Aircraft Sensor Fault Diagnosis

N. Cartocci, G. Costante, M. R. Napolitano +3

In this paper PCA and D-PCA techniques are applied for the design of a Data Driven diagnostic Fault Isolation (FI) and Fault Estimation (FE) scheme for 18 primary sensors of a semi…

eess.SY2022★ 7 cited

Tire-road friction estimation and uncertainty assessment to improve electric aircraft braking system

Francesco Crocetti, G. Costante, M. L. Fravolini +1

The accurate online estimation of the road-friction coefficient is an essential feature for any advanced brake control system. In this study, a data-driven scheme based on a MLP Ne…

cs.RO2022★ 2 cited

A Data-Driven Slip Estimation Approach for Effective Braking Control under Varying Road Conditions

F. Crocetti, G. Costante, M. L. Fravolini +1

The performances of braking control systems for robotic platforms, e.g., assisted and autonomous vehicles, airplanes and drones, are deeply influenced by the road-tire friction exp…