Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles
本文针对工业机器人多模态运行周期监控问题，提出基于相空间重构的几何吸引子监测框架，通过离散支持估计提供有效的健康指标。
0 citationsRead paper
Selected work
Representative Papers
Why Model Credibility Isn't Enough: -Rethinking Trust in Simulation Architectures
This study addresses a critical limitation in existing simulation credibility assessment approaches, which predominantly focus on individual models and thus fail to capture the reliability of complex, multi-model architectures. Moving beyond the single-model evaluation paradigm, this work redefines trustworthiness at the architectural level and proposes a multidimensional framework that integrates sensitivity analysis, expert knowledge, explainable artificial intelligence, and complex network modeling. Through a systematic comparison of diverse methodologies across dimensions such as methodological rigor, generalizability, and computational resource demands, the research offers both theoretical foundations and practical guidance for constructing high-assurance simulation architectures.
0 citationsRead paper
Recent publications
Latest Papers
Geometric Attractor Monitoring: A Robust and Frugal Framework for Multi-modal Industrial Robotic Cycles
本文针对工业机器人多模态运行周期监控问题，提出基于相空间重构的几何吸引子监测框架，通过离散支持估计提供有效的健康指标。
0 citationsRead paper
Why Model Credibility Isn't Enough: -Rethinking Trust in Simulation Architectures
This study addresses a critical limitation in existing simulation credibility assessment approaches, which predominantly focus on individual models and thus fail to capture the reliability of complex, multi-model architectures. Moving beyond the single-model evaluation paradigm, this work redefines trustworthiness at the architectural level and proposes a multidimensional framework that integrates sensitivity analysis, expert knowledge, explainable artificial intelligence, and complex network modeling. Through a systematic comparison of diverse methodologies across dimensions such as methodological rigor, generalizability, and computational resource demands, the research offers both theoretical foundations and practical guidance for constructing high-assurance simulation architectures.
0 citationsRead paper