Yushu An

Papers

Total Citations

244

H-Index

About

Yushu An is a leading researcher in the field of robotic manufacturing systems, with a core focus on bridging the gap between design automation and industrial application. Their major contributions center on developing intelligent, knowledge-driven frameworks to streamline the design and programming of robotic welding and assembly lines. An’s most influential work, "Hybrid offline programming method for robotic welding systems" (2021, 142 citations), introduced a novel approach that significantly reduces downtime by combining simulation with real-time calibration, a breakthrough for high-mix, low-volume production. Building on this, their 2022 paper on a knowledge-based engineering approach for defining robotic manufacturing system architectures (98 citations) established a formal methodology to capture and reuse design expertise, directly addressing the persistent challenge of mismatched user requirements. An has also pioneered the application of generative design principles to manufacturing, as seen in their work on heterogeneous requirement gathering, aiming to automate the synthesis of system architectures from diverse stakeholder inputs. With over 240 total citations, Yushu An’s research is shaping the next generation of adaptive, user-centric robotic factories, making them a key voice in the convergence of artificial intelligence and industrial robotics.