Minsu Kim

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About

Minsu Kim is a robotics researcher specializing in autonomous mobile systems, embedded computing, and simultaneous localization and mapping (SLAM) technologies. His work sits at the intersection of open-source robotics frameworks and real-world deployment, with a particular focus on making autonomous navigation accessible and practical for mobile platforms. Kim's notable contributions include a comparative analysis of the Robot Operating System (ROS) across embedded hardware platforms, providing developers with critical insights for optimizing robotic systems at the hardware-software interface. This work, which has garnered 10 citations, remains a useful reference for engineers designing resource-constrained robotic systems. More recently, his 2024 research on building autonomous sidewalk delivery robots using open-source LiDAR SLAM and Autoware — already accumulating 9 citations — addresses the real-world challenge of integrating disparate navigation technologies, including map generation, path planning, and motion control, into cohesive outdoor systems. Kim's research is particularly impactful for the growing field of last-mile delivery robotics, where bridging the gap between experimental and real-world environments remains a persistent challenge. His commitment to open-source solutions democratizes advanced autonomous navigation, making sophisticated robotics development more approachable for researchers and engineers alike.