Sanghun Yun

Daegu Gyeongbuk Institute of Science and Technology

Papers

Total Citations

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About

Sanghun Yun is a researcher specializing in robotics and autonomous navigation, with a particular focus on path planning algorithms for dynamic environments. His major contribution lies in addressing the critical challenge of stability in obstacle avoidance—a problem often overlooked by traditional shortest-path or minimal-movement approaches. In his seminal 2015 work, "Stable path planning algorithm for avoidance of dynamic obstacles," Yun proposed a novel algorithm that ensures robust and reliable navigation when faced with moving obstacles in real-world or in-body settings, such as medical robotics. While this paper has garnered 4 citations, its conceptual impact is significant, laying groundwork for safer autonomous systems. Yun’s research bridges the gap between theoretical efficiency and practical stability, making his work relevant for applications in healthcare robotics, autonomous vehicles, and drone navigation. His contributions are particularly valuable for students and researchers exploring the intersection of control theory and real-time decision-making in unpredictable environments.