Advancing multi-vehicle deployments in oceanographic field experiments

• Type: Article in International Scientific Journal
• Date: 2018

Authors

António Sérgio Ferreira (Author) FEUP; Maria Costa (Author) Other; Frédéric Py (Author) Other; José Pinto (Author) Other; Mónica A. Silva (Author) Other; Alex Nimmo Smith (Author) Other; Tor Arne Johansen (Author) Other; João Borges de Sousa (Author) Other; Kanna Rajan (Author) Other

Journal

Title: Autonomous Robots

Vol. 43 No. 6

Pages: 1555-1574

ISSN: 0929-5593

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 0 Citations

ISI Web of Science

Scopus - 12 Citations

Other information

Authenticus ID: P-00P-S2M

DOI: 10.1007/s10514-018-9810-x

Abstract (EN): Our research concerns the coordination and control of robotic vehicles for upper water-column oceanographic observations. In such an environment, operating multiple vehicles to observe dynamic oceanographic phenomena, such as ocean processes and marine life, from fronts to cetaceans, has required that we design, implement and operate software, methods and processes which can support opportunistic needs in real-world settings with substantial constraints. In this work, an approach for coordinated measurements using such platforms, which relate directly to task outcomes, is presented. We show the use and operational value of a new Artificial Intelligence based mixed-initiative system for handling multiple platforms along with the networked infrastructure support needed to conduct such operations in the open sea. We articulate the need and use of a range of middleware architectures, critical for such deployments and ground this in the context of a field experiment in open waters of the mid-Atlantic in the summer of 2015. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20