Cristin-resultat-ID: 1883517
Sist endret: 8. desember 2021, 10:59
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
2021

The Aquatic Surface Robot (AnSweR), a lightweight, low cost, multipurpose unmanned research vessel

Bidragsytere:
  • Filippo Sanfilippo
  • Min Tang og
  • Sam Steyaert

Bok

Proceeding of the 3rd International Conference on Intelligent Technologies and Applications (INTAP)
ISBN:
  • 978-3-030-71711-7

Utgiver

Springer
NVI-nivå 1

Serie

Communications in Computer and Information Science (CCIS)
ISSN 1865-0929
e-ISSN 1865-0937
NVI-nivå 1

Om resultatet

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel
Publiseringsår: 2021
Volum: 1382
Hefte: 1
Sider: 251 - 265
ISBN:
  • 978-3-030-71711-7
Open Access

Klassifisering

Fagfelt (NPI)

Fagfelt: IKT
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

The Aquatic Surface Robot (AnSweR), a lightweight, low cost, multipurpose unmanned research vessel

Sammendrag

Even though a few examples of aquatic surface robots exist, they are generally expensive, relatively large and heavy and tailored to custom-made hardware/software components that are not openly available to a broad public. In this work, the Aquatic Surface Robot (AnSweR), a newly-designed, lightweight, low cost, open-source, multipurpose unmanned research vessel is presented. The AnSweR features a lightweight and compact design that makes it fit in a backpack. Low-noise operation (in and above the surface) is achieved with a propulsion system based on two water-jets. Only affordable commercial-off-the-shelf (COTS) components are adopted. The primary goal of the AnSweR is to map underwater landscapes and to collect bathymetry data in lakes, rivers, and coastal ecosystems. A modular hardware and software architecture is adopted. This architecture allows the AnSweR to be equipped with a customisable add-on set of sensors and actuators to enable a variety of research activities, such as measuring environmental variables (e.g., salinity, oxygen, temperature) and sampling operations (e.g., sediment, vegetation, microplastics). The software architecture is based on the Robot Operating System (ROS). This paper describes the design of AnSweR as the main scientific contribution and presents preliminary simulation and experimental results which illustrate its potential.

Bidragsytere

Aktiv cristin-person

Filippo Sanfilippo

  • Tilknyttet:
    Forfatter
    ved Institutt for maskin, elektronikk og kjemi ved OsloMet - storbyuniversitetet
  • Tilknyttet:
    Forfatter
    ved Institutt for ingeniørvitenskap ved Universitetet i Agder

Min Tang

  • Tilknyttet:
    Forfatter
    ved Institutt for realfag og industrisystemer ved Universitetet i Sørøst-Norge

Sam Steyaert

  • Tilknyttet:
    Forfatter
    ved Fakultet for biovitenskap og akvakultur ved Nord universitet
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Resultatet er en del av Resultatet er en del av

Proceeding of the 3rd International Conference on Intelligent Technologies and Applications (INTAP).

Yildirim Yayilgan, Sule; Bajwa, Imran Sarwar; Sanfilippo, Filippo. 2021, Springer. IUB, NTNU, UIAVitenskapelig antologi/Konferanseserie
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