Sun-Do Kim

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Sun-Do Kim is a researcher in mobile robotics and autonomous navigation, with a particular focus on safe driving algorithms for urban environments. His work addresses the critical challenge of enabling robots and autonomous vehicles to navigate complex, dynamic settings without relying solely on reactive obstacle avoidance. Kim’s most cited paper, “A fuzzy decision making algorithm for safe driving in urban environment” (2007), introduces a novel approach that integrates fuzzy logic with decision-making processes to improve navigation safety and efficiency. This contribution has garnered 3 citations, reflecting its foundational role in advancing intelligent driving systems. Beyond this work, Kim’s research explores the intersection of artificial intelligence and robotics, emphasizing proactive strategies for hazard detection and path planning. His achievements include developing algorithms that balance real-time responsiveness with long-term trajectory optimization, a key step toward reliable autonomous mobility. For students and researchers, Kim’s work offers a practical lens on how fuzzy systems can enhance decision-making in unpredictable urban landscapes, making his contributions valuable for those exploring safe navigation in robotics and autonomous vehicles.