Chun‐Pin Lin

Taiwan Semiconductor Manufacturing Company (Taiwan), National Tsing Hua University

Papers

Total Citations

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About

Chun-Pin Lin is a leading researcher in energy-efficient integrated circuits and systems for autonomous robotics and real-time artificial intelligence. His work centers on motion-control and neural network processors that enable intelligent machines to perceive, plan, and act with minimal power consumption. Lin’s most-cited paper, “A 28nm 142mW Motion-Control SoC for Autonomous Mobile Robots” (2023, 10 citations), presents a groundbreaking system-on-chip that delivers precise motion control for smart factory and disaster-rescue robots, dramatically reducing power to just 142mW. He further advanced edge AI with “A 16nm 5.7TOPS CNN Processor Supporting Bi-Directional FPN for Small-Object Detection on High-Resolution Videos” (2025, 1 citation), a design that achieves 5.7 trillion operations per second while enabling life-saving detection of distant objects for autonomous vehicles and drones. Lin’s contributions bridge the gap between high-performance computing and ultra-low-power deployment, making real-time, safety-critical intelligence practical. His work has been published in top-tier IEEE conferences and journals, reflecting his impact on the future of autonomous systems.