Yi-qian Zhao
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yi-qian Zhao is pioneering the integration of human emotional perception with industrial robot design, a field known as Kansei engineering. Their most cited work introduces a groundbreaking morphological design method for industrial cleaning robots that bridges the gap between subjective user feelings and objective engineering parameters. By combining Extenics-based semantic quantification with advanced eye-tracking analysis, Dr. Zhao has developed a systematic framework that translates users’ affective imagery into concrete design features—a critical advancement for Industry 4.0’s demand for experience-oriented products. This innovative approach, published in 2025 and already garnering attention with 2 citations, moves beyond traditional designer intuition to offer a replicable, data-driven methodology. Dr. Zhao’s research directly addresses the challenge of capturing and quantifying the elusive "Kansei" (Japanese for sensibility or feeling) in product morphology, making them a key figure in human-centered industrial design. Their work promises to reshape how robots are aesthetically and emotionally tailored to user expectations, marking a significant step toward more intuitive and satisfying human-robot interactions in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1