Chien-Hung Lai
Papers
1
Total Citations
2
H-Index
1
About
Chien-Hung Lai is a researcher whose work sits at the intersection of human–computer interaction, robotics, and machine learning. His most cited paper, “Remotely controlling of mobile robots using gesture captured by the Kinect and recognized by machine learning method” (2013, 2 citations), introduces a novel system that leverages the Kinect sensor’s depth-sensing capabilities to capture human skeletal data and translate natural gestures into robot commands. By applying machine learning for gesture recognition, Lai’s approach makes robot teleoperation more intuitive and accessible, reducing the need for complex controllers. This contribution is particularly valuable for assistive robotics and remote operation scenarios. While his citation count is modest, the work demonstrates an early and practical integration of consumer-grade sensing technology with intelligent control—a direction that has since become central to modern human–robot interaction. Lai’s research highlights the potential of combining affordable hardware with smart algorithms to democratize robotic control, offering a glimpse into more natural, gesture-based interfaces for future autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1