Roy Chaoming Hsu
Papers
4
Total Citations
32
H-Index
3
About
Roy Chaoming Hsu is a leading researcher at the intersection of robotics, human-robot interaction, and STEM education. His work focuses on making robots more accessible and intuitive to control, particularly through gesture-based interfaces that leverage machine learning and depth-sensing technologies like the Kinect sensor. Hsu’s major contributions include developing real-time systems that allow humans to teleoperate robots using natural hand gestures—a critical innovation for addressing labor shortages in aging societies. His most cited paper, “Real-Time Interaction System of Human-Robot with Hand Gestures” (2020, 13 citations), demonstrates a practical framework for seamless human-robot collaboration. Beyond technical systems, Hsu has also advanced educational robotics, as seen in his 2022 study on project-based learning robotics courses integrated with STEM education (12 citations), which uses content analysis to assess learning outcomes. His work on humanoid robots for entertainment and social interaction, including searching, kicking a ball, and dancing, highlights the potential of robotics in healthcare and home settings during crises like the COVID-19 pandemic. With a portfolio that bridges engineering innovation and pedagogical impact, Hsu is shaping both the future of robotic interfaces and how we teach the next generation of engineers.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Interaction System of Human-Robot with Hand Gestures13 citations · 2020
- 2
- 3Humanoid Robots for Searching and Kicking a Ball and Dancing5 citations · 2020
- 4