Jeongsik Choi

Seoul National University, LG (United States), LG (South Korea)

Papers

Total Citations

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About

Jeongsik Choi is a leading researcher in autonomous robotics, specializing in simultaneous localization and mapping (SLAM), multi-agent systems, and underwater navigation. His foundational work on "PSO-FastSLAM" (2009, 33 citations) revolutionized conventional FastSLAM frameworks by integrating particle swarm optimization to combat particle depletion, significantly improving long-term localization accuracy in complex environments. He further advanced autonomous underwater vehicle (AUV) capabilities with his "3-D Terrain Covering and Map Building Algorithm" (2009, 25 citations), introducing the artificial island technique for efficient 3D underwater mapping. More recently, Choi developed "MASS: Multi-Agent Scheduling System for Intelligent Surveillance" (2022, 8 citations), addressing the critical challenge of coordinating multiple autonomous mobile robots for security applications through integrated localization, obstacle avoidance, and path planning algorithms. His latest contribution, "CLOi-Mapper" (2024, 3 citations), delivers a consistent, lightweight, and robust SLAM solution specifically optimized for embedded systems in commercial service robots, enabling reliable navigation across diverse form factors for cleaning and guidance tasks. With over 69 citations across his most influential works, Choi continues to bridge theoretical advances with practical, deployable solutions for autonomous systems.