Data-Driven Prediction of Experimental Hydrodynamic Data of the Manta Ray Robot Using Deep Learning Method

Data-Driven Prediction of Experimental Hydrodynamic Data of the Manta Ray Robot Using Deep Learning Method

To precisely control the manta ray robot and improve its swimming and turning speed, the hydrodynamic parameters corresponding to different motion control variables must be tested experimentally. In practice, too many input control parameters will bring thousands of groups of underwater experiments,...

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Bibliographic Details
Main Authors: Jingyi Bai, Qiaogao Huang, Guang Pan, Junjie He
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Journal of Marine Science and Engineering
Subjects:
manta ray robot
hydrodynamic experiment
generative adversarial networks
data augmentation
deep learning
Online Access:https://www.mdpi.com/2077-1312/10/9/1285

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