Junseo Kim

Toronto Metropolitan University, Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Junseo Kim is a robotics researcher pushing the boundaries of localization and mapping for mobile robots in challenging real-world environments. His work spans three critical frontiers: visual-inertial odometry, WiFi-based mapping, and high-precision GNSS localization. Kim’s most notable contribution is **BIT-VIO**, a visual-inertial odometry system that leverages Focal-Plane Sensor-Processor Arrays (FPSPs) to execute vision algorithms directly on the image sensor. This breakthrough enables ultra-low-power, high-frame-rate processing—a game-changer for resource-constrained robots. In a complementary vein, his **Structure from WiFi (SfW)** approach repurposes ubiquitous WiFi RSSI signals for geometric indoor mapping, offering a robust alternative to vision-based SLAM in feature-poor or poorly lit spaces. For outdoor applications, Kim developed a compact RTK-GNSS device that delivers centimeter-level accuracy even on fluctuating or inclined terrains, directly addressing the reliability needs of field and agricultural robots. Though early in his career, with his top papers accumulating 3, 2, and 2 citations respectively, Kim’s work is already defining new hardware-software co-design paradigms for autonomous navigation—making him a rising name to watch in practical, deployable robotics.