Yingdan Zhu

Papers

Total Citations

H-Index

About

Yingdan Zhu is a researcher at the forefront of advanced manufacturing and robotics, with a primary focus on automating high-volume, labour-intensive production processes. Her work addresses the critical challenge of transitioning from manual dependency to efficient, automated systems in complex manufacturing environments. A key contribution is her 2020 paper on "Advanced Automation and Robotics for High Volume Labour-Intensive Manufacturing" (10 citations), which provides a comprehensive analysis of the operational challenges and strategies for successful automation adoption. Additionally, her 2015 study on "Robotic trajectory planning based on CL data" (7 citations) introduces an innovative, cost-effective method for automatic trajectory planning in robotic finishing, particularly for complex surfaces, reducing the time and expense of traditional programming. Zhu’s research is instrumental in bridging the gap between theoretical robotics and practical industrial application, offering scalable solutions that enhance productivity and precision. Her work is highly relevant for students and researchers exploring automation in manufacturing, as it combines technical depth with real-world feasibility, making her a notable contributor to the field of industrial robotics.