Chaojun Li

Data-driven edge intelligence two-axis servo system: multimodal end-to-end friction diagnosis

This paper proposes a physics-based, edge AI-driven multimodal fault diagnosis method that avoids the need for complex manual feature engineering, features low computational complexity and high deployment convenience, and meets the stringent computational constraints of embedded robot controllers.