Wenna Wang

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About

Wenna Wang is a leading researcher in intelligent manufacturing and robotic systems, with a focus on digital twin technology and advanced path planning for industrial automation. Her most-cited work, "A digital twin for 3D path planning of large-span curved-arm gantry robot" (2022, 68 citations), introduces a groundbreaking framework that integrates real-time simulation with physical robotic control. This contribution addresses critical challenges in large-scale manufacturing, enabling precise, collision-free motion for complex gantry robots used in aerospace and automotive assembly. By bridging the gap between virtual modeling and physical execution, Wang’s research enhances efficiency, reduces downtime, and improves safety in automated production lines. Her work has been widely recognized for its practical impact, with citations spanning robotics, digital twin development, and smart factory design. Wang’s achievements underscore her role in advancing Industry 4.0, making her a key figure in the evolution of intelligent, data-driven manufacturing systems.