Haoming Huang

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Haoming Huang is a researcher at the forefront of integrating robotics perception with building information modeling. His primary research areas include Simultaneous Localization and Mapping (SLAM), indoor robotics navigation, and the coupling of sensor data with architectural models. Huang’s major contribution is the creation of SLABIM, the first dataset designed to bridge SLAM and Building Information Modeling (BIM). By providing synchronized sensor data and detailed architectural models of a university building, SLABIM addresses a critical gap in existing indoor datasets, which often neglect building architectures. This pioneering work enables more robust robot localization and mapping in complex indoor environments. With over 6 combined citations for his foundational dataset, Huang’s work is already influencing the field. His achievement in constructing a novel, interdisciplinary dataset demonstrates his ability to identify and solve real-world challenges at the intersection of robotics and civil engineering, making his research highly relevant for students and researchers working on autonomous systems in built environments.