Minghui Huang
Papers
1
Total Citations
43
H-Index
1
About
Minghui Huang is a leading researcher in human-robot collaboration, with a primary focus on vision-based hand gesture recognition and intuitive human-machine interfaces. Their most-cited work, the 2019 survey "Vision-Based Hand Gesture Recognition for Human-Robot Collaboration," has garnered 43 citations, establishing a foundational framework for enabling seamless, non-verbal communication between human workers and robotic systems in shared manufacturing environments. Huang's major contribution lies in bridging the gap between traditional industrial robotics—which require isolated operation—and collaborative systems that leverage human flexibility and cognitive skills. By systematically reviewing and categorizing gesture recognition techniques, they have provided a roadmap for developing safer, more efficient human-robot teams. Their research addresses critical challenges in real-time gesture interpretation, occlusion handling, and robust performance under varying lighting conditions. Huang's work has been instrumental in advancing Industry 5.0 paradigms, where human-centered automation is paramount. Their survey remains a key reference for researchers and engineers designing intuitive interfaces for collaborative robots, influencing subsequent studies in multimodal interaction and adaptive control systems.
Research Focus
Key Achievements
Top Papers
- 1