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Proximal policy optimization with reciprocal velocity obstacle based collision avoidance path planning for multi-unmanned surface vehicles
School of Marine Engineering, Jimei University, Xiamen 361021, PR China.ORCID iD: 0000-0002-2839-6495
School of Marine Engineering, Jimei University, Xiamen 361021, PR China; Fujian Provincial Key Laboratory of Naval Architecture and Ocean Engineering, Xiamen 361021, PR China.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9821-0281
Donghai Laboratory, Zhoushan 316021, China; Faculty of Mechanical Engineering, Opole University of Technology, Opole 45758, Poland.
2023 (English)In: Ocean Engineering, ISSN 0029-8018, E-ISSN 1873-5258, Vol. 273, article id 114005Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 273, article id 114005
National Category
Ocean and River Engineering Control Engineering Robotics
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Automatic Control
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URN: urn:nbn:se:ltu:diva-95727DOI: 10.1016/j.oceaneng.2023.114005ISI: 000948996500001Scopus ID: 2-s2.0-85148668587OAI: oai:DiVA.org:ltu-95727DiVA, id: diva2:1739545
Note

Validerad;2023;Nivå 2;2023-03-30 (hanlid);

Funder: National Natural Science Foundation of China (52171309, 51809113); Natural Science Foundation of Fujian Province, China (2022J06025,2020J01689, 2021J01843); Fujian Provincial Young Top-Notch Talent Plan, PR China (Z02101); Project of Intelligent SituationAwareness System for Smart Ship, PR China (MC-201920-X01)

Available from: 2023-02-27 Created: 2023-02-27 Last updated: 2023-03-30Bibliographically approved

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Yamashita, Andre S.

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