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Embodied intelligence in unmanned surface vehicle systems: A review of key technologies and developments
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Liyuan FAN1, Zhaojie WANG1, *, Zhan YANG2, Peng LIU1, Xiaofeng WU1
Science & Technology Review | 2025, 43(20) : 85 - 92
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Science & Technology Review | 2025, 43(20): 85-92
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Embodied intelligence in unmanned surface vehicle systems: A review of key technologies and developments
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Liyuan FAN1, Zhaojie WANG1, *, Zhan YANG2, Peng LIU1, Xiaofeng WU1
Affiliations
  • 1China Ship Research and Development Academy, Beijing 100101, China
  • 2School of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081, China
Published: 2025-10-28 doi: 10.3981/j.issn.1000-7857.2025.09.00070
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The intelligence of unmanned vessel systems is undergoing a profound transformation from remote control to embodied autonomous forms, with the core being the realization of advanced intelligent behavior through multimodal perception, environmental interaction, and closed−loop learning. This paper systematically reviews the key advances of embodied intelligence in unmanned vessels, highlighting that semantic control loops, digital twin validation, and evaluation systems are moving from methodological exploration to engineering integration, and have already begun to provide preliminary application support in port and inland waterway scenarios. However, current technologies still face bottlenecks in perception stability, rule interpretability, and deployment resources. Therefore, this paper recommends focusing on breakthroughs in strengthening autonomous closed−loop intelligence systems, establishing standard and trustworthy validation environments, and promoting lightweight and collaborative deployment to enhance system reliability, compliance, and scalability, providing support for the development of intelligent ship technology and the implementation of our marine strategy.

embodied AI  /  unmanned surface vehicle  /  multimodal perception  /  digital twin  /  autonomous navigation
Liyuan FAN, Zhaojie WANG, Zhan YANG, Peng LIU, Xiaofeng WU. Embodied intelligence in unmanned surface vehicle systems: A review of key technologies and developments[J]. Science & Technology Review, 2025 , 43 (20) : 85 -92 . DOI: 10.3981/j.issn.1000-7857.2025.09.00070
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.09.00070
  • Receive Date：2025-08-16
  • Online Date：2025-12-29
  • Published：2025-10-28
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  • Received：2025-08-16
  • Revised：2025-10-13
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    1China Ship Research and Development Academy, Beijing 100101, China
    2School of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081, China
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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