Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources-Reference-Cited by-同舟云学术

Mobile robotic platforms for the acoustic tracking of deep-sea demersal fishery resources

Published:2020-11-18 Issue:48 Volume:5 Page:
ISSN:2470-9476
Container-title:Science Robotics
language:en
Short-container-title:Sci. Robot.

Author:

Masmitja I.¹^ORCID,Navarro J.²^ORCID,Gomariz S.¹^ORCID,Aguzzi J.²³,Kieft B.⁴,O’Reilly T.⁴^ORCID,Katija K.⁴^ORCID,Bouvet P. J.⁵^ORCID,Fannjiang C.⁶^ORCID,Vigo M.²^ORCID,Puig P.²^ORCID,Alcocer A.⁷,Vallicrosa G.⁸^ORCID,Palomeras N.⁸^ORCID,Carreras M.⁸^ORCID,del Rio J.¹^ORCID,Company J. B.²^ORCID

Affiliation:

1. SARTI Research Group, Electronics Department, Universitat Politècnica de Catalunya, Barcelona, Spain.

2. Institut de Ciències del Mar - CSIC, Barcelona, Spain.

3. Stazione Zoologica Anton Dohrn, Naples, Italy.

4. Research and Development, Monterey Bay Aquarium Research Institute, Moss Landing, CA, USA.

5. L@BISEN, ISEN Brest Yncréa Ouest Brest, France.

6. Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, USA.

7. Department of Mechanical, Electronics and Chemical Engineering, and AI lab, Oslo Metropolitan University, Oslo, Norway.

8. Computer Vision and Robotics Institute (VICOROB), Universitat de Girona, Girona, Spain.

Abstract

Mobile robots enhance traditional acoustic tracking methods to study the spatiotemporal behavior of deep-sea fishery resources.

Funder

National Science Foundation

Ministerio de Ciencia, Innovación y Universidades

Departament d’Innovació, Universitats i Empresa, Generalitat de Catalunya

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

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