Papers
2
Total Citations
39
H-Index
2
About
Yongsu Lee is a leading researcher in ultra-low-power artificial intelligence hardware, with a focus on enabling intelligent autonomy in resource-constrained micro robotic systems. His work addresses the critical challenge of implementing AI functions—such as perception and decision-making—on battery-limited autonomous mobile robots. Lee's major contributions center on the design of energy-efficient AI processors that incorporate on-chip PVT (process, voltage, temperature) compensation, ensuring reliable operation under varying environmental conditions. His pioneering paper, "14.3 A 0.55V 1.1mW artificial-intelligence processor with PVT compensation for micro robots" (2016), has garnered 25 citations, while its extended journal version (2017) has received 14 citations, demonstrating sustained interest in his innovations. By achieving operation at just 0.55V and consuming only 1.1mW, Lee's processor design represents a significant leap forward in making AI feasible for applications like unmanned delivery and smart surveillance. His work is instrumental in bridging the gap between advanced AI capabilities and the severe power constraints of micro-scale robotics, paving the way for more intelligent, autonomous systems.
Research Focus
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Top Papers
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