Cheolho Han

Seoul National University, Naver (South Korea)

Papers

Total Citations

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About

Cheolho Han is a robotics researcher whose work lies at the intersection of deep learning and autonomous navigation, with a focus on enabling intelligent mobile systems to operate seamlessly in human-centered environments. His most impactful contribution is the development of a **Perception-Action-Learning System** for mobile social-service robots, which integrates state-of-the-art deep learning techniques to achieve fast and robust performance in complex service tasks—a paper that has garnered **8 citations** and laid foundational work for socially aware robotics. Han has also advanced the field of visual localization by contributing to the creation of **large-scale localization datasets for crowded indoor spaces**, addressing the critical challenge of precise camera pose estimation where GNSS fails, enabling augmented reality and robot navigation in challenging indoor settings. This work, while newer with **2 citations**, addresses a pressing need for robust localization in dynamic, cluttered environments. Han’s research uniquely bridges perception, action, and learning, demonstrating a commitment to building robots that can perceive, navigate, and interact intelligently in the real world—a vision that positions him as a promising voice in the next generation of autonomous systems.