Ching-Hsiang Yang
Papers
1
Total Citations
2
H-Index
1
About
Ching-Hsiang Yang is a researcher in robotics and automation, with a focused interest in 3D vision systems and intelligent robotic control. His work centers on integrating advanced imaging technologies with robotic manipulation to enhance precision and autonomy in industrial applications. Yang’s most cited paper, “3D Cameras and Algorithms for Multi-Angle Gripping and Control of Robotic Arm” (2020), introduces a novel method for automated multi-angle identification and gripping path planning. By integrating a 3D camera to capture workpiece images, position, and distance data, and transmitting this information to a remote host for identification, his approach enables more flexible and accurate robotic arm control. Although his citation count is currently modest—with 2 citations for this key work—Yang’s contributions are significant for advancing practical, vision-guided automation systems. His research addresses critical challenges in real-time object recognition and adaptive gripping, laying groundwork for more intelligent manufacturing and logistics solutions. Yang’s work is particularly valuable for students and researchers exploring the intersection of computer vision and robotics, offering a clear example of how 3D sensing can improve robotic dexterity and operational efficiency.
Research Focus
Key Achievements
Top Papers
- 1