A ROS-Based GNC Architecture for Autonomous Surface Vehicle Based on a New Multimission Management Paradigm

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A ROS-Based GNC Architecture for Autonomous Surface Vehicle Based on a New Multimission Management Paradigm

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Vincenzo D’Angelo / Paolo Folino / Marco Lupia / Gianfranco Gagliardi / Gianni Cario / Francesco Cicchello Gaccio / Alessandro Casavola

Abstract

This paper presents the design and implementation of BAICal (Intelligent Autonomous Buoy by the University of Calabria), an autonomous surface vehicle (ASV) developed at the Autonomous Systems Lab (LASA) of the Department of Computer Science, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria. The basic project was born as a research program in marine robotics with multiple applications, either in the sea or in lake/river environments, for data monitoring, search and rescue operations and diver support tasks. Mechanical and hardware designs are discussed by considering a three-degree-of-freedom (3DoF) dynamical model of the vehicle. An extension to the typical guidance, navigation, and control (GNC) software architecture is presented. The software design and the implementation of a manager module (M-GNC architecture) that allows the vehicle to autonomously coordinate missions are described. Indeed, autonomous guidance and movement are only one of several more complex tasks that mobile robots have to perform in a real scenario and that allow a long-term life cycle. Module-based software architecture is developed by using the Robot Operating System (ROS) framework that is suitable for different kinds of autonomous vehicles, such as aerial, ground, surface or underwater drones.

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Dokumentinformationen

Titel :

A ROS-Based GNC Architecture for Autonomous Surface Vehicle Based on a New Multimission Management Paradigm

Beteiligte:

Vincenzo D’Angelo (Autor:in) / Paolo Folino (Autor:in) / Marco Lupia (Autor:in) / Gianfranco Gagliardi (Autor:in) / Gianni Cario (Autor:in) / Francesco Cicchello Gaccio (Autor:in) / Alessandro Casavola (Autor:in)

Erschienen in:

Drones, Vol 6, Iss 12, p 382 (2022)

Erscheinungsdatum :

2022

ISSN :

2504-446X

DOI :

https://doi.org/10.3390/drones6120382

Medientyp :

Aufsatz (Zeitschrift)

Format :

Elektronische Ressource