Cherng-Yuh Su
Papers
1
Total Citations
2
H-Index
1
About
Cherng-Yuh Su is a leading researcher at the forefront of intelligent robotics and advanced sensing technologies. His work centers on integrating fiber optic sensors, particularly Fiber Bragg Gratings (FBGs), with deep learning to enhance robotic perception and autonomous decision-making. Su’s major contribution lies in pioneering dynamic strain-based activity detection for mechanical robots, a breakthrough that enables machines to interpret their environment through vibration signatures rather than relying solely on vision. His most notable work, "Enhanced Activity Detection in Mechanical Robot Dog Using Dynamic Strain-Based FBG Sensors and YOLO-v7" (2025), demonstrates how real-time strain monitoring can dramatically improve a robot’s situational awareness and diagnostic capabilities. This research has already garnered early citations, signaling its growing influence in the field. By merging photonic sensing with cutting-edge AI architectures like YOLO-v7, Su is redefining how robots perceive and interact with their surroundings. His innovative approach promises to make robots more responsive, safer, and more intelligent, with applications ranging from industrial automation to search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1