Xiao Wangqun
Papers
1
Total Citations
2
H-Index
1
About
Xiao Wangqun is a researcher whose work centers on the intersection of industrial robotics and perceptual design, with a particular focus on how human sensory and emotional responses can inform the modeling and aesthetics of robotic systems. His most notable contribution, the 2016 paper "Research on modeling design of industrial robot based on perceptual image," explores the integration of kansei engineering—a field that translates human feelings into product design parameters—into the development of industrial robots. While this work has garnered 2 citations, it represents a foundational step in bridging the gap between technical robotics and user-centered design, an area with growing relevance in human-robot interaction. Xiao’s research addresses the challenge of making industrial robots not only functionally efficient but also visually and emotionally resonant with human operators, a niche but critical aspect of modern automation. His efforts contribute to the broader discourse on how design aesthetics can enhance usability and acceptance in manufacturing environments, positioning him as a thoughtful voice in the evolving dialogue between engineering and human factors.
Research Focus
Key Achievements
Top Papers
- 1