Chao Meng

Papers

Total Citations

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About

Chao Meng is a leading researcher at the intersection of human-computer interaction and robotic control, with a primary focus on noninvasive interface technologies. His most cited work, a comprehensive 2022 review titled "Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future," has garnered 4 citations and stands as a pivotal resource in the field. In this study, Meng employs innovative "Mapping Knowledge Domains" (MKDs) to systematically trace the evolution of noninvasive HCI methods, offering a structured understanding of how these technologies have progressed from early developments to current applications in robot control. His major contribution lies in synthesizing a fragmented research landscape, providing a clear roadmap for future innovations. By highlighting key trends and gaps, Meng’s work directly supports the advancement of accessible, noninvasive interfaces that enhance human-robot collaboration. This review not only serves as a foundational reference for students and researchers entering the field but also underscores Meng’s role in shaping the trajectory of HCI for robotic systems. His ability to distill complex, interdisciplinary knowledge into actionable insights makes his research invaluable for those seeking to push the boundaries of intuitive, noninvasive control technologies.