Yun‐Chen Lu

Papers

Total Citations

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About

Yun-Chen Lu is a pioneering researcher at the intersection of robotics, virtual reality, and intelligent learning systems. His primary research focuses on developing digital twin technologies and immersive educational frameworks that demystify complex robotics concepts. Lu’s most cited work, "Application of Virtual Reality in Developing the Digital Twin for an Integrated Robot Learning System" (2024, 12 citations), addresses a critical challenge in STEM education: the high cognitive load students face when grappling with intricate robotics mathematics, including forward and inverse kinematics, path planning, and dynamics. By integrating virtual reality with digital twin environments, Lu has created an innovative platform that reduces learning barriers and sustains student motivation. His contributions are particularly notable for bridging the gap between theoretical robotics and hands-on, experiential learning. With a growing citation footprint, Lu is establishing himself as a key voice in educational robotics and human-computer interaction. His work not only advances pedagogical methods but also provides a scalable framework for training the next generation of robotics engineers, making complex technical domains more accessible and engaging.