Ki-Bum Hong

Papers

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About

Dr. Ki-Bum Hong is a pioneering researcher in autonomous mobile robotics and neural network-based control systems. His foundational work, particularly the highly cited 2003 paper "Path planning of mobile robot using neural network" (40 citations), established a novel framework for integrating obstacle avoidance with target tracking in indoor environments. Dr. Hong's key contribution lies in developing a wall-following algorithm that leverages neural network pattern recognition, enabling mobile robots to navigate complex spaces autonomously while dynamically responding to environmental changes. This approach significantly advanced the field by demonstrating how artificial intelligence could enhance real-time decision-making in robotics. His research has been instrumental in bridging the gap between theoretical neural network models and practical robotic applications, influencing subsequent developments in autonomous navigation systems. Dr. Hong's work continues to inspire researchers exploring intelligent control mechanisms for mobile platforms, particularly in environments requiring adaptive obstacle avoidance and precise trajectory planning. His contributions remain a cornerstone for students and engineers working on neural network-driven path planning solutions.