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About

Dr. Wenjun Tan is a pioneering researcher at the intersection of robotics, brain-computer interfaces, and educational technology. Her work spans two transformative domains: developing hybrid brain-computer interface (BCI) systems for quadcopter control, and advancing robotic education through accessible platforms. Her most cited paper, "Quadcopter Robot Control Based on Hybrid Brain–Computer Interface System" (2020, 39 citations), demonstrates a groundbreaking approach to integrating neural signals with robotic flight control, enabling intuitive human-machine interaction. This work has significant implications for assistive technology and hands-free drone operation. Dr. Tan also made foundational contributions to STEM education through her research on LEGO-based robotics systems. Her 2008 paper on "Research on Robotic Education Based on LEGO Bricks" (11 citations) introduced the "fire-fighting robots" as a pedagogical tool, making complex robotics concepts accessible to students. She further expanded this work by developing robotic popular science systems that incorporate autonomous navigation and visual identification. In the medical robotics domain, Dr. Tan contributed to the development of motion units for simulated intelligent endotracheal suctioning robots, translating clinical parameters into robotic design. Her research uniquely bridges theoretical innovation with practical applications in education, rehabilitation, and human-robot interaction.