Ye-Ji Mun

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About

Ye-Ji Mun is a leading researcher in autonomous mobile robot navigation, with a particular focus on safe and efficient movement through crowded, human-filled environments. Her most cited work, "Occlusion-Aware Crowd Navigation Using People as Sensors" (2023, 12 citations), tackles a fundamental challenge in robotics: navigating spaces where sensors are blocked by moving people. Mun’s key insight is to treat nearby humans not as obstacles, but as active sensors whose own movements reveal hidden threats or pathways. By modeling how people react to occluded areas, her approach enables robots to predict and avoid collisions before they become visible, dramatically improving safety in dense crowds. This work has been recognized for bridging the gap between classical motion planning and human-aware social navigation. Mun’s research is highly influential for the development of service robots, autonomous wheelchairs, and delivery drones operating in busy public spaces. Her contributions are shaping the next generation of robots that can move seamlessly and safely among people.