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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
Research subject
Automatic Control
Identifiers
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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