Peng‐Chun Peng
Papers
1
Total Citations
2
H-Index
1
About
Dr. Peng-Chun Peng is a leading researcher in optical fiber sensing and intelligent robotic systems, with a focus on integrating fiber Bragg grating (FBG) sensors with machine learning for advanced activity detection. His major contributions include the development of dynamic strain-based FBG sensors combined with YOLO-v7 deep learning algorithms, enabling precise, real-time activity monitoring in mechanical robots. This work, detailed in his 2025 paper "Enhanced Activity Detection in Mechanical Robot Dog Using Dynamic Strain-Based FBG Sensors and YOLO-v7," has already garnered early citations, reflecting its growing impact in the field. By leveraging vibration and strain signatures from robotic movements, Dr. Peng’s research bridges the gap between optical sensing and artificial intelligence, enhancing robot autonomy and environmental awareness. His innovative approach has significant implications for industrial automation, search-and-rescue operations, and human-robot interaction. With a strong publication record and increasing recognition, Dr. Peng continues to push the boundaries of smart sensing technologies, making him a notable figure in the convergence of photonics and robotics.
Research Focus
Key Achievements
Top Papers
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