activity
20192026
most citedVisual Sensor Network Stimulation Model Identification via Gaussian Mixture Model and Deep Embedded Features

8 citations · 20 across the 16 of their papers we have counts for

collaborators

18 papers

cs.RO2026

Towards safe and optimal flight: Viability Kernel MPC for Fully Actuated Multirotor

Massimiliano Bertoni, Alberto Piccina, Gianni Lunardi +4

Industrial aerial robotics demands safety guarantees for navigation in unstructured environments while optimizing performance and computational efficiency. This paper presents a me…

cs.RO2026

Force Polytope-Based Cant-Angle Selection for Tilting Hexarotor UAVs

Alberto Piccina, Massimiliano Bertoni, Angelo Cenedese +1

From a maneuverability perspective, the main advantage of tilting multirotor UAVs lies in the dynamic variability of the feasible executable wrench, which represents a key asset fo…

cs.RO2026

Dynamic Control Allocation for Dual-Tilt UAV Platforms

Marcello Sorge, Federico Ciresola, Giulia Michieletto +1

This paper focuses on dynamic control allocation for a hexarotor UAV platform, considering a trajectory tracking task as as case study. It is assumed that the platform is dual-tilt…

cs.RO2026

RotorSuite: A MATLAB/Simulink Toolbox for Tilt Multi-Rotor UAV Modeling

Nicola Cigarini, Giulia Michieletto, Angelo Cenedese

In recent years, aerial platforms have evolved from passive flying sensors into versatile, contact-aware robotic systems, leading to rapid advances in platform design. Standard cop…

cs.RO2025

Multi Agent Switching Mode Controller for Sound Source localization

Marcello Sorge, Nicola Cigarini, Riccardo Lorigiola +4

Source seeking is an important topic in robotic research, especially considering sound-based sensors since they allow the agents to locate a target even in critical conditions wher…

eess.SY2025★ 1 cited

Trajectory control of a suspended load with non-stopping flying carriers

Sofia Girardello, Giulia Michieletto, Angelo Cenedese +2

This work presents the first closed-loop control framework for cooperative payload transportation with non-stopping flying carriers. The proposed method includes a feedback wrench-…

eess.SY2024

Bearing-based Target Localisation in Search and Rescue Scenarios

Giulia Michieletto, Nicola Mimmo, Roberto Naldi +1

This paper deals with the target localisation problem in search and rescue scenarios in which the technology is based on electromagnetic transceivers. The noise floor and the shape…

eess.SY2024

Star-shaped Tilted Hexarotor Maneuverability: Analysis of the Role of the Tilt Cant Angles

Marco Perin, Massimiliano Bertoni, Nicolas Viezzer +2

Star-shaped Tilted Hexarotors are rapidly emerging for applications highly demanding in terms of robustness and maneuverability. To ensure improvement in such features, a careful s…

eess.SY2023

An Active-Sensing Approach for Bearing-based Target Localization

Beniamino Pozzan, Giulia Michieletto, Mehran Mesbahi +1

Characterized by a cross-disciplinary nature, the bearing-based target localization task involves estimating the position of an entity of interest by a group of agents capable of c…

eess.SY2023

Trajectory Tracking for Tilted Hexarotors with Concurrent Attitude Regulation

Marco Perin, Massimiliano Bertoni, Giulia Michieletto +2

Tilted hexarotors embody a technology that remains partially unexploited in terms of its potential, especially concerning precise and concurrent position and attitude control. Focu…

cs.RO2023

Tag-based Visual Odometry Estimation for Indoor UAVs Localization

Massimiliano Bertoni, Simone Montecchio, Giulia Michieletto +2

The agility and versatility offered by UAV platforms still encounter obstacles for full exploitation in industrial applications due to their indoor usage limitations. A significant…

eess.SY2022★ 2 cited

Distributed Dual Quaternion Based Localization of Visual Sensor Networks

Luca Varotto, Marco Fabris, Giulia Michieletto +1

In this paper we consider the localization problem for a visual sensor network. Inspired by the alternate attitude and position distributed optimization framework discussed in [1],…

eess.SY2022★ 5 cited

On the Distributed Estimation from Relative Measurements: a Graph-Based Convergence Analysis

Marco Fabris, Giulia Michieletto, Angelo Cenedese

For a multi-agent system state estimation resting upon noisy measurements constitutes a problem related to several application scenarios. Adopting the standard least-squares approa…

eess.SP2022★ 8 cited

Visual Sensor Network Stimulation Model Identification via Gaussian Mixture Model and Deep Embedded Features

Luca Varotto, Marco Fabris, Giulia Michieletto +1

Visual sensor networks (VSNs) constitute a fundamental class of distributed sensing systems, with unique complexity and appealing performance features, which correspondingly bring…

eess.SY2021

A General Regularized Distributed Solution for System State Estimation from Relative Measurements

Marco Fabris, Giulia Michieletto, Angelo Cenedese

This work presents a novel general regularized distributed solution for the state estimation problem in networked systems. Resting on the graph-based representation of sensor netwo…

eess.SY2021★ 4 cited

A Proximal Point Approach for Distributed System State Estimation

Marco Fabris, Giulia Michieletto, Angelo Cenedese

System state estimation constitutes a key problem in several applications involving multi-agent system architectures. This rests upon the estimation of the state of each agent in t…

eess.SY2019

Hierarchical non-linear control for multi-rotor asymptotic stabilization based on zero-moment direction

Giulia Michieletto, Angelo Cenedese, Luca Zaccarian +1

We consider the hovering control problem for a class of multi-rotor aerial platforms with generically oriented propellers. Given the intrinsically coupled translational and rotatio…

eess.SY2019

A Unified Dissertation on Bearing Rigidity Theory

Giulia Michieletto, Angelo Cenedese, Daniel Zelazo

This work focuses on the bearing rigidity theory, namely the branch of knowledge investigating the structural properties necessary for multi-element systems to preserve the inter-u…