Enhao Zhao

Papers

Total Citations

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About

Enhao Zhao is a robotics researcher whose work focuses on human-robot interaction, particularly in the domain of autonomous mobile robots designed for close-proximity human following. His key research areas include laser-based perception, occlusion-aware navigation, and robust tracking algorithms for dynamic environments. Zhao’s major contribution is the development of a side-by-side following system for human-following robots, which addresses a critical challenge: the full occlusion of a target person by walls during corridor turns. His 2021 paper on this topic, which has garnered 19 citations, introduces a laser-based approach that enables robots to maintain continuous tracking even in complex, structured indoor settings—a problem that often leads to temporary or permanent target loss in conventional systems. This work is notable for its practical implications in assistive robotics, warehouse logistics, and service robots, where reliable human following is essential. Zhao’s research has been recognized for its innovative solution to a persistent occlusion problem, and his citation count reflects growing interest from the robotics community. His contributions are paving the way for more robust and intuitive human-robot collaboration in real-world environments.