Seung Eun Lee

Seoul National University of Science and Technology

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About

Seung Eun Lee is a leading researcher in energy-efficient computing for autonomous systems, with a focus on hardware acceleration and embedded intelligence. Their work addresses the critical challenge of enabling real-time perception and navigation on resource-constrained, battery-powered robots. A key contribution is the development of a **grid-based DBSCAN clustering accelerator** for LiDAR point cloud processing, which significantly reduces the computational burden of object detection on low-power cores (9 citations). Lee also pioneered the **"Robot-on-Chip"** concept, integrating sensor processing and actuator control onto a single chip to simplify system complexity (6 citations). Further innovations include an **embedded fuzzy logic controller (EFLC)** for autonomous mobile robots (AMRs) that efficiently manages increasing rule complexity (4 citations), and a **hardware-accelerated block searching approach** for A* path planning, designed to overcome memory and computational constraints in large-scale navigation (1 citation). Collectively, Lee’s work demonstrates a clear trajectory toward creating compact, power-savvy, and high-performance computing platforms that are essential for the next generation of autonomous robots.