Feng Du

Institute of Psychology, Chinese Academy of Sciences, Wuhan University of Science and Technology

Papers

Total Citations

H-Index

About

Feng Du is a researcher whose work bridges two seemingly distinct fields: human-robot interaction and intelligent control systems. His most influential contribution, the 2020 "A Literature Review of the Research on the Uncanny Valley," has garnered 49 citations, establishing him as a thoughtful synthesizer of the psychological and design challenges posed by humanlike robots. This review critically examines how subtle imperfections in robotic appearance can evoke unease, a key concern for designers aiming to create socially acceptable machines. In parallel, Du has advanced practical robotics through his 2017 work on adaptive fuzzy sliding mode control for articulated robots. By addressing the chattering phenomenon inherent in conventional sliding mode algorithms, he proposed an adaptive single-input, single-output fuzzy system that smooths and stabilizes robot motion. This contribution offers a tangible solution for improving the precision and reliability of two-degree-of-freedom robotic arms. Du’s research thus occupies a unique intersection: he not only explores the psychological barriers to human-robot acceptance but also engineers the control systems that make robots more responsive and trustworthy in real-world applications.