Cheng-Ting Liu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Cheng-Ting Liu is a robotics and human-computer interaction researcher whose work focuses on making robot control more intuitive and accessible. His primary research areas include gesture-based control systems, machine learning for human-robot interaction, and the application of depth-sensing technologies in robotics. Dr. Liu’s major contribution lies in pioneering the use of the Microsoft Kinect sensor—originally designed for gaming—as a tool for remotely controlling mobile robots. In his most cited work, he developed a system that captures human body skeletons and recognizes gestures through machine learning, allowing operators to command robots naturally without traditional joysticks or keyboards. This innovative approach demonstrated how consumer-grade depth sensors could be repurposed for advanced robotic control, bridging the gap between human movement and machine response. While his citation count reflects the early-stage nature of this research, Dr. Liu’s work represents an important step toward more seamless human-robot collaboration, laying groundwork for future developments in assistive robotics and teleoperation systems that prioritize user-friendly, non-contact interfaces.
Research Focus
Key Achievements
Top Papers
- 1