Papers
3
Total Citations
17
H-Index
2
About
Bokyoung Seo is an emerging researcher specializing in hardware architecture for autonomous systems, with a particular focus on LiDAR-based Simultaneous Localization and Mapping (SLAM) processors and energy-efficient computing for mobile robotics. His work addresses a critical gap in autonomous driving technology: the limitations of camera-based visual SLAM systems, which struggle with restricted field of view and inaccurate depth perception in real-world environments. Seo's most notable contributions include the development of LSPU, a fully integrated real-time LiDAR-SLAM System-on-Chip (SoC) that combines point neural network segmentation with multi-level k-nearest-neighbor acceleration — a landmark achievement in embedded AI for robotics. His research consistently pushes toward low-power, real-time semantic perception by integrating 3D point cloud segmentation directly into SLAM pipelines, enabling 360° spatial awareness suitable for mobile robot deployment. His spatiotemporal-aware computing architectures represent a sophisticated approach to minimizing pose estimation errors while maintaining energy efficiency. With his 2024 publications already accumulating citations in a competitive field, Seo demonstrates strong early-career impact in the intersection of VLSI design, artificial intelligence, and autonomous systems — making his work essential reading for researchers in robotics hardware and edge AI.
Research Focus
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Top Papers
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