Yu-Ching Pan
Papers
1
Total Citations
7
H-Index
1
About
Yu-Ching Pan is a researcher in human-robot interaction and intelligent control systems, with a focus on gesture-based interfaces and real-time robotic manipulation. Their most-cited work, "The Manipulation of Real-Time Kinect-Based Robotic Arm Using Double-Hand Gestures" (2020, 7 citations), introduces a novel control system that integrates a Kinect depth sensor, color camera, and microprocessor to enable intuitive, double-hand gesture commands for robotic arm operation. This contribution advances the field of non-contact human-machine interaction, offering a more natural and accessible method for controlling robotic systems in real time. Pan’s research bridges computer vision and robotics, with potential applications in assistive technology, manufacturing, and remote operation. By leveraging affordable depth-sensing hardware, their work demonstrates how gesture recognition can replace traditional joystick or keyboard inputs, making robotic control more user-friendly. With growing interest in intuitive interfaces, Pan’s findings provide a foundation for future developments in gesture-driven automation and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1