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Embodied social perception intelligence for unmanned systems: Workflow and framework
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Lili FAN1, Guangyu SHI2, Kaige CHEN1, Chuang LI3, Changxian ZENG4, Fang DENG1, *
Science & Technology Review | 2025, 43(20) : 37 - 47
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Science & Technology Review | 2025, 43(20): 37-47
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Embodied social perception intelligence for unmanned systems: Workflow and framework
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Lili FAN1, Guangyu SHI2, Kaige CHEN1, Chuang LI3, Changxian ZENG4, Fang DENG1, *
Affiliations
  • 1School of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081, China
  • 2School of Artificial Intelligence, Beijing Institute of Technology, Zhuhai 519088, China
  • 3Military Intelligence Institute of the Academy of Military Sciences of the Chinese People's Liberation Army, Beijing 100091, China
  • 4School of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
Published: 2025-10-28 doi: 10.3981/j.issn.1000-7857.2025.09.00071
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Autonomous intelligent unmanned systems operating in real−world open environments—characterized by dynamic complexity, multi−agent coupling, incomplete information, and strong social constraints—face critical challenges such as insufficient compliance modeling, limited social risk perception, complex collaborative conflicts, and delayed abnormal response. To address these issues, this paper proposes an Embodied Social Perception Intelligence Framework, which integrates embodied perception (including proprioceptive, internal, exteroceptive, interactive, and intention perception) with social radar, and introduces Agentic AI as a top−level decision−making and control mechanism to achieve multi−level and autonomous cognitive decision−making. The framework adopts a five−layer architecture—perception, reasoning, execution, feedback, and meta−control—establishing a dynamic closed loop from multimodal perception to compliant behavior generation. By fusing physical and social environmental information, the proposed framework significantly enhances the task adaptability, collective coordination efficiency, and compliance reliability of autonomous intelligent unmanned systems in complex and uncertain scenarios such as urban governance, emergency rescue, and social security. This work provides a new technical pathway toward trustworthy, explainable, and sustainable autonomous intelligent systems.

embodied perception  /  social radar  /  agentic AI  /  autonomous intelligent unmanned system
Lili FAN, Guangyu SHI, Kaige CHEN, Chuang LI, Changxian ZENG, Fang DENG. Embodied social perception intelligence for unmanned systems: Workflow and framework[J]. Science & Technology Review, 2025 , 43 (20) : 37 -47 . DOI: 10.3981/j.issn.1000-7857.2025.09.00071
Year 2025 volume 43 Issue 20
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doi: 10.3981/j.issn.1000-7857.2025.09.00071
  • Receive Date:2025-09-06
  • Online Date:2025-12-29
  • Published:2025-10-28
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  • Received:2025-09-06
  • Revised:2025-10-11
Affiliations
    1School of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081, China
    2School of Artificial Intelligence, Beijing Institute of Technology, Zhuhai 519088, China
    3Military Intelligence Institute of the Academy of Military Sciences of the Chinese People's Liberation Army, Beijing 100091, China
    4School of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China
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表12种不同金属材料的力学参数

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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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