Ming-Shaung Chang

Papers

Total Citations

H-Index

About

Ming-Shaung Chang is a robotics researcher whose work centers on developing intuitive human-robot interaction (HRI) systems, with a particular focus on mobile robotics and natural gesture-based communication. His most cited paper, "Establishing a Natural HRI System for Mobile Robot through Human Hand Gestures" (2009), which has garnered 3 citations, lays foundational groundwork for enabling robots to interpret and respond to human hand gestures in real time. This contribution addresses a critical challenge in robotics: bridging the gap between human intent and machine action without complex interfaces. Chang’s research emphasizes making robots more accessible and responsive in dynamic environments, such as assistive or service settings. While his citation count reflects a niche but focused impact, his work is notable for its early exploration of non-verbal, vision-based control methods that predate today’s widespread gesture recognition systems. Chang’s efforts contribute to a broader vision of seamless, natural collaboration between humans and autonomous machines, offering insights for students and researchers interested in HRI, mobile robotics, and the design of user-centered autonomous systems.