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Jing Wang, Qianqian Li, Zhiqiang Fang, Xianglong Zhou, Zhiwei Tang, Yanling Han and Zhenling Ma
The rapid development of convolutional neural networks has significant implications for automated underwater fishing operations. Among these, object detection algorithms based on underwater robots have become a hot topic in both academic and applied rese...
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Chenglong Hou, Zhiguang Guan, Ziyi Guo, Siqi Zhou and Mingxing Lin
At present, sea cucumbers, sea urchins, and other seafood products have become increasingly significant in the seafood aquaculture industry. In traditional fishing operations, divers go underwater for fishing, and the complex underwater environment can c...
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Minglei Xiong and Guangming Xie
Although underwater robot swarms have demonstrated increasing application prospects, organizing and optimizing the swarm?s scheduling for uncertain tasks are challenging. Thus, we designed robot games and task allocation experiments, where the robots hav...
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Ervin Galan-Uribe, Luis Morales-Velazquez and Roque Alfredo Osornio-Rios
Industrial processes involving manipulator robots require accurate positioning and orienting for high-quality results. Any decrease in positional accuracy can result in resource wastage. Machine learning methodologies have been proposed to analyze failur...
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Liang Ge, Ziyang Fang, Hao Li, Le Zhang, Wen Zeng and Xiaoting Xiao
China is rich in coal resources, but complex hydrogeological conditions lead to difficulties in coal mining, including coal mine collapses, roof and water damage, and other accidents that occur frequently, resulting in many casualties and property losses...
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