Ming-Shaung Chang
Papers
1
Total Citations
7
H-Index
1
About
Dr. Ming-Shaung Chang is a pioneering researcher in human-robot interaction (HRI) and machine vision, best known for developing intuitive, vision-based interfaces that allow humans to communicate with robots through natural gestures and facial expressions. His most cited work, "A friendly and intelligent human-robot interface system based on human face and hand gesture" (2009, 7 citations), introduced a groundbreaking system that combines shape, similarity, and lip detection methods to enable robust, real-time communication between users and robots. This research laid the foundation for more accessible and user-friendly robotic systems, emphasizing safety and ease of use. Dr. Chang’s contributions are particularly notable for advancing non-verbal human-robot communication, making robots more responsive to human cues without the need for complex programming or wearable devices. His work continues to influence the development of intelligent, socially aware robots in both industrial and domestic settings, demonstrating the potential for seamless human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1