Papers
8
Total Citations
107
H-Index
6
About
Ki-In Na is a leading researcher in intelligent robotics and autonomous systems, with a focus on smart city security, multi-agent coordination, and bio-inspired locomotion. His work bridges the gap between theoretical algorithms and real-world robotic applications, particularly in crowded and dynamic environments. Na’s most cited paper, “Multimodal layer surveillance map based on anomaly detection using multi‑agents for smart city security” (35 citations), introduces a groundbreaking framework that integrates data from CCTV, delivery robots, and shuttles to enhance urban safety through real-time anomaly detection. He has also made significant contributions to pedestrian safety with “Real‑time 3D multi‑pedestrian detection and tracking using 3D LiDAR point cloud for mobile robot” (19 citations), enabling mobile robots to navigate crowded spaces reliably. In bio-inspired robotics, Na pioneered the use of particle swarm optimization to generate rhythmic locomotion patterns for robotic fish, as detailed in his 2011 paper (19 citations), which has influenced efficient underwater vehicle design. His recent work, “ASAP: Agile and Safe Pursuit for Local Planning of Autonomous Mobile Robots” (2024), demonstrates his ongoing commitment to agile, collision-free navigation in cluttered environments. With over 100 total citations, Na’s research continues to shape the future of autonomous systems, from smart cities to multi-robot cooperation.
Research Focus
Key Achievements
Top Papers
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- 7Target follwing with a vision sway compensation for robotic fish Fibo5 citations · 2011
- 8Corridor Occupancy-Based Multi-Agent Pathfinding in Topological Maps2 citations · 2022