Chih‐Chen Lin
Papers
1
Total Citations
3
H-Index
1
About
Dr. Chih-Chen Lin is a leading researcher at the intersection of embedded artificial intelligence and industrial automation, with a primary focus on tiny machine learning (TinyML), edge computing, and real-time computer vision. His most influential work, "Integrating Tiny Machine Learning and Edge Computing for Real-Time Object Recognition in Industrial Robotic Arms" (2025), demonstrates a breakthrough in deploying lightweight AI models directly onto resource-constrained edge devices. By fusing TinyML algorithms with machine vision, Lin’s research enables industrial robotic arms to perform multi-object recognition and adaptive control without cloud dependency, dramatically improving production line flexibility and automation efficiency. This work has already garnered early citations, signaling its growing impact on smart manufacturing. Lin’s contributions are particularly notable for bridging the gap between low-power embedded systems and high-performance robotics, offering a scalable, cost-effective solution for Industry 4.0. His achievements position him as a pioneer in making real-time, on-device intelligence practical for real-world industrial applications, inspiring future advances in autonomous, energy-efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1