Roberto Opromolla

Assistant Professor

Università degli Studi di Napoli Federico II

Italy

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About

Roberto Opromolla is an Assistant Professor at Università degli Studi di Napoli Federico II, Italy. His research focuses on guidance and control architectures for unmanned aerial systems, multi-drone cooperation, and navigation algorithms for various aviation scenarios. Recent publications include studies on FMCW radar-aided navigation, multi-objective manoeuvring optimization, and analytical frameworks for UAS sensing requirements.

Articles (15)

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2025

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2025

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2023

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2021

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2021

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2021

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2021

Collaborators (2)

Giancarmine Fasano

University of Naples Federico II

ITALY

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Giuseppe Napolano

University of Naples Federico II

ITALY

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Roberto Opromolla

Research Interests

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Articles (15)

Guidance and Control Architecture for Rendezvous and Approach to a Non-Cooperative Tumbling Target

FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline

Multi-Objective Manoeuvring Optimization for Multi-Satellite Responsive Earth Observation

Multi-Drone Cooperation for Improved LiDAR-Based Mapping

A low-thrust finite state machine based controller for N-satellites formations in distributed synthetic aperture radar applications

Analytical Framework for Sensing Requirements Definition in Non-Cooperative UAS Sense and Avoid

Monocular-Based Pose Estimation Based on Fiducial Markers for Space Robotic Capture Operations in GEO

Sensing Requirements and Vision-Aided Navigation Algorithms for Vertical Landing in Good and Low Visibility UAM Scenarios

Closed loop integration of air-to-air visual measurements for cooperative UAV navigation in GNSS challenging environments

Pose determination of passively cooperative spacecraft in close proximity using a monocular camera and AruCo markers

Uncertainty-aware Cube algorithm for medium-term collision risk assessment

Tuning of NASA Standard Breakup Model for Fragmentation Events Modelling

Onboard and External Magnetic Bias Estimation for UAS through CDGNSS/Visual Cooperative Navigation

LIDAR-based multi-step approach for relative state and inertia parameters determination of an uncooperative target

Visual-based obstacle detection and tracking, and conflict detection for small UAS sense and avoid

Collaborators (2)

Giancarmine Fasano

Giuseppe Napolano

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