Hailong Duan

Tianjin University of Technology and Education

Papers

Total Citations

H-Index

About

Hailong Duan’s research lies at the intersection of human-robot interaction, assistive robotics, and intelligent control systems. His work is driven by the goal of making robots more responsive and useful in everyday human environments, particularly for elderly care and service applications. Duan’s most cited paper, “Vision-based Hand Gesture Recognition for Mobile Service Robot Control” (2018, 5 citations), addresses a core challenge in human-computer interaction by enabling natural, vision-based control of mobile robots through hand gestures, eliminating the need for physical interfaces. Earlier foundational work includes “Research of the robot for the elderly based on star positioning” (2012, 2 citations), which tackled the critical issue of reliable indoor localization for assistive robots serving an aging population. In parallel, his paper “Adaptive fuzzy and H∞ control of robotic manipulators with uncertainties” (2012, 2 citations) advanced robust control theory by combining fuzzy logic with H∞ techniques to handle system uncertainties in robotic arms. Though his citation counts are modest, Duan’s contributions are notable for their practical orientation—bridging control theory, computer vision, and human-centered design to create safer, more intuitive robots for real-world deployment.