Mincheul Kim

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Mincheul Kim is a robotics researcher specializing in socially-aware navigation for autonomous mobile robots operating in crowded, human-populated environments. His work addresses a critical challenge: enabling robots to move safely and naturally among people when their onboard sensors are limited by occlusions or dense crowds. Kim’s major contributions include developing a novel framework that leverages external CCTV data to overcome local sensor blind spots, significantly improving robot situational awareness in complex indoor spaces. This work, published in 2024, has already garnered 6 citations for its practical approach to real-world deployment. He has also advanced the field of social robot navigation by introducing group estimation techniques, which allow robots to recognize and respect social groupings among pedestrians—a key factor for socially compliant movement. His 2022 paper on this topic, with 4 citations, tackles the intractable problem of navigating dense crowds while adhering to unspoken social norms. Kim’s research bridges computer vision, human-robot interaction, and motion planning, offering scalable solutions for robots in malls, airports, and hospitals. His work is essential reading for students and researchers interested in the intersection of perception, social intelligence, and autonomous navigation.