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Based on the conceptual connotations and characteristics of autonomy, this paper constructs the 0–5 level autonomy grading matrix for unmanned systems from three dimensions: task complexity, environmental complexity, and the degree of human-machine interaction. Aiming at the basic capabilities of Perception-Cognition-Decision-Action (PCDA) of unmanned systems, the satisfaction degree of Observable-Understandable-Predictable-Intervenable (OUPD) criteria is adopted to provide detailed descriptions of the autonomy at each level. This provides standards and criteria for measuring the autonomy capability level of unmanned systems, demonstrating strong scientific validity and engineering application value.

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Autonomy Grading Matrix and Description Model for Unmanned Systems

  • 会议论文

  • 发表日期：

    2026年

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  • He Zhikai

摘要

Based on the conceptual connotations and characteristics of autonomy, this paper constructs the 0–5 level autonomy grading matrix for unmanned systems from three dimensions: task complexity, environmental complexity, and the degree of human-machine interaction. Aiming at the basic capabilities of Perception-Cognition-Decision-Action (PCDA) of unmanned systems, the satisfaction degree of Observable-Understandable-Predictable-Intervenable (OUPD) criteria is adopted to provide detailed descriptions of the autonomy at each level. This provides standards and criteria for measuring the autonomy capability level of unmanned systems, demonstrating strong scientific validity and engineering application value.