黄琰, 李岩, 俞建成, 李硕, 封锡盛. AUV智能化现状与发展趋势[J]. 机器人, 2020, 42(2): 215-231. DOI: 10.13973/j.cnki.robot.190392
引用本文: 黄琰, 李岩, 俞建成, 李硕, 封锡盛. AUV智能化现状与发展趋势[J]. 机器人, 2020, 42(2): 215-231. DOI: 10.13973/j.cnki.robot.190392
HUANG Yan, LI Yan, YU Jiancheng, LI Shuo, FENG Xisheng. State-of-the-Art and Development Trends of AUV Intelligence[J]. ROBOT, 2020, 42(2): 215-231. DOI: 10.13973/j.cnki.robot.190392
Citation: HUANG Yan, LI Yan, YU Jiancheng, LI Shuo, FENG Xisheng. State-of-the-Art and Development Trends of AUV Intelligence[J]. ROBOT, 2020, 42(2): 215-231. DOI: 10.13973/j.cnki.robot.190392

AUV智能化现状与发展趋势

State-of-the-Art and Development Trends of AUV Intelligence

  • 摘要: 归纳总结了国内外AUV单体平台与人工智能方法相结合的主要成果.从探测感知、航行控制决策、路径规划、故障诊断等核心技术环节进行深入剖析,探讨了人工智能方法在AUV典型作业场景下的应用.最后,指出了AUV的智能化发展趋势.

     

    Abstract: The state-of-the-art of the AUV (autonomous underwater vehicle) incorporating the artificial intelligence methods at home and abroad are summarized. A number of core technologies are analyzed, including detection and perception, control decision in navigation, path planning and fault diagnosis, and the applications of the artificial intelligence methods in AUV typical application scenarios are investigated. Finally, the intelligence development trends of AUV are pointed out.

     

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