Sewoong Min

Papers

Total Citations

H-Index

About

Sewoong Min is a researcher focused on advancing autonomous systems and robotics, with key contributions in drone reliability, autonomous vehicle frameworks, and simulation environments. In his most cited work, "Improved drone reliability using a robot operating system" (2016, 4 citations), Min introduced a platform leveraging the Robot Operating System (ROS) to enhance service drone dependability, enabling in-flight application updates and mission completion assurance—a foundational step for robust aerial robotics. His subsequent study, "Integrated Framework of Autonomous Vehicle with Traffic Sign Recognition in Simulation Environment" (2020, 3 citations), proposed a novel, unified system for autonomous vehicle research, integrating traffic sign recognition with lateral and longitudinal controls within a simulated setting. This work addressed a critical gap in the field, where individual components existed but lacked cohesive integration. Though early in his career, Min’s research demonstrates a commitment to bridging hardware-software gaps in autonomous systems, offering practical tools for reliability and simulation-based testing. His work serves as a stepping stone for students and researchers seeking to build resilient, real-world autonomous platforms.