Papers
3
Total Citations
29
H-Index
3
About
Yining Huang is a researcher at the forefront of Industry 4.0, specializing in the semantic interoperability of digital twins and the integration of robotic middleware with industrial communication standards. Her work addresses a critical bottleneck in modern manufacturing: enabling seamless communication between heterogeneous assets. Huang’s most cited paper, “Semantic Interoperability of Digital Twins: Ontology-based Capability Checking in AAS Modeling Framework” (2023, 18 citations), introduces an ontology-driven approach to capability verification within the Asset Administration Shell (AAS) framework, a cornerstone for flexible production lines. She further bridges the gap between robotic and industrial ecosystems by developing methods to connect ROS 1 and ROS 2 devices into OPC UA-based testbeds (2022, 6 citations), and by sharing early lessons from building a local OPC UA-based robotic testbed (2022, 5 citations). These contributions are vital for achieving the extreme flexibility promised by Industry 4.0. Huang’s work is not only technically rigorous but also highly practical, providing foundational frameworks that enable smart factories to operate with unprecedented adaptability and efficiency.
Research Focus
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