Jing-Min Liang
Papers
1
Total Citations
6
H-Index
1
About
Jing-Min Liang is a researcher in robotics and human–robot interaction, with a particular focus on gesture-based control systems for dynamic environments. His most notable contribution is the development of a gesture recognition framework for human–robot interactive control, specifically applied to robot soccer. This work, published in 2018, demonstrates how real-time gesture commands can enable intuitive and responsive robot behavior in competitive, fast-paced settings—a key challenge in autonomous robotics. Though early in his citation impact, with 6 citations for this landmark paper, Liang’s research addresses a critical gap in non-verbal, natural interaction between humans and robots, offering a foundation for future work in collaborative robotics and assistive technologies. His approach integrates computer vision, machine learning, and control theory to create seamless interfaces that reduce the need for complex programming. Liang’s work is particularly relevant for students and researchers exploring practical, low-latency interaction methods in robotics, and his contributions highlight the growing importance of gesture-based control in real-world applications, from industrial automation to sports robotics.
Research Focus
Key Achievements
Top Papers
- 1