Scholarlink

We establish a quantitative framework integrating Policy Modeling Consistency (PMC) indices with DeepSeek’s semantic AI to evaluate 60 national humanoid robotics policies. Automated detection of secondary policy variables replaced manual extraction, enhancing analytical precision. Multidimensional assessment reveals stratified efficacy among 10 representative policies: one excellent, two good, and seven passable. While certain policy attributes show robustness, implementation mechanisms, and interagency coordination. Our optimization framework proposes: (1) sector-targeted policy design, (2) dynamic regulatory updates, (3) cross-ministerial collaboration protocols, and (4) AI-responsive adaptation mechanisms. This approach demonstrating AI-augmented policy analysis as a paradigm shift in governance science.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Quantitative Evaluation of Policy Effectiveness in Humanoid Robotics Industry: An Integrated DeepSeek–PMC Approach

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Lyu Guangqiang,
  • Xinyan Luo,
  • Changhong Xiong,
  • Zengwen Wu,
  • Xie Yanjing,
  • Wang Ping,
  • Zhang Yuzhen,
  • Jinjing Dong

摘要

We establish a quantitative framework integrating Policy Modeling Consistency (PMC) indices with DeepSeek’s semantic AI to evaluate 60 national humanoid robotics policies. Automated detection of secondary policy variables replaced manual extraction, enhancing analytical precision. Multidimensional assessment reveals stratified efficacy among 10 representative policies: one excellent, two good, and seven passable. While certain policy attributes show robustness, implementation mechanisms, and interagency coordination. Our optimization framework proposes: (1) sector-targeted policy design, (2) dynamic regulatory updates, (3) cross-ministerial collaboration protocols, and (4) AI-responsive adaptation mechanisms. This approach demonstrating AI-augmented policy analysis as a paradigm shift in governance science.