Wangqun Xiao

East China University of Science and Technology, Anhui University of Technology

Papers

Total Citations

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About

Wangqun Xiao is a pioneering researcher in the field of human-robot interaction and perceptual design, with a primary focus on industrial robotics. Their work bridges the gap between subjective design intuition and objective emotional cognition, developing innovative methodologies that integrate virtual reality with synchronous quantitative physiological signals. Xiao’s most-cited paper (2020, 13 citations) introduces a groundbreaking perceptual design method for smart industrial robots, demonstrating how to harmonize designer creativity with data-driven emotional feedback—a critical advancement for creating more intuitive and user-friendly automation systems. In earlier foundational work (2016, 5 citations), Xiao established the "Perceptual Intention Space Construction Model" for industrial robots, incorporating both user and expert perspectives to systematically map design intentions. This dual-source approach has influenced how researchers conceptualize the emotional and functional requirements of robotic systems. Xiao’s contributions are particularly notable for addressing the longstanding tension between artistic design and quantitative research, offering a practical framework that has inspired subsequent studies in affective computing and human-centered robotics. Their work continues to shape the evolution of smart manufacturing and human-robot collaboration.