| AUV智能化现状与发展趋势 |
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| 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 |
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| 作者姓名： | 黄琰 李岩 俞建成 李硕 封锡盛 |
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| 作者单位： | 1. 中国科学院沈阳自动化研究所机器人学国家重点实验室, 辽宁 沈阳 110016;2. 中国科学院机器人与智能制造创新研究院, 辽宁 沈阳 110169;3. 中国科学院大学, 北京 100049 |
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| 基金项目： | 国家重点研发计划;机器人学国家重点实验室项目;国家自然科学基金 |
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| 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.
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| 关 键 词： | 自主水下机器人 人工智能 自主感知 智能决策 运动控制 |
| 收稿时间： | 2019-07-21 |
State-of-the-Art and Development Trends of AUV Intelligence |
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| 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 |
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| Authors: | HUANG Yan LI Yan YU Jiancheng LI Shuo FENG Xisheng |
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| Affiliation: | 1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China;3. University of Chinese Academy of Sciences, Beijing 100049, China |
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| 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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| Keywords: | autonomous underwater vehicle artificial intelligence autonomous perception intelligent decision motion control |
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