Hyo-Woon Park

Papers

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About

Hyo-Woon Park is a robotics researcher whose work focuses on autonomous navigation and path planning for mobile robots operating in dynamic environments. His most cited paper, “Development of a Navigation Control Algorithm for Mobile Robots Using D*” (2010), introduces a novel control algorithm that integrates the D* algorithm with fuzzy logic for collision risk assessment and behavioral decision-making. This approach enables global and local path planning, allowing robots to effectively avoid both static and moving obstacles. By applying a square grid decomposition to the robot’s two-dimensional workspace, Park’s algorithm was validated through simulations using Python and the robot’s equations of motion, demonstrating robust obstacle avoidance capabilities. With 3 citations, this foundational work contributes to the field of intelligent robotics, offering a practical framework for real-time navigation in uncertain environments. Park’s research has implications for autonomous systems in logistics, service robotics, and industrial automation, where safe and efficient movement is critical. His work exemplifies the integration of classical path planning with adaptive control, making it a valuable reference for students and researchers developing mobile robot navigation systems.