Chuhao Liu

Hong Kong University of Science and Technology

Papers

Total Citations

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About

Chuhao Liu is a researcher at the forefront of integrating robotics perception with building information modeling (BIM), with a primary focus on simultaneous localization and mapping (SLAM) and LiDAR-based navigation in indoor environments. His major contributions include pioneering methods to unify distinct data modalities—specifically, aligning LiDAR point clouds with BIM through novel techniques like the Pose Hough Transform, which enables global registration without requiring prior pose estimates. Liu also spearheaded the creation of the SLABIM dataset, the first of its kind to couple SLAM sensor data with detailed building architecture models, addressing a critical gap in indoor robotics research. This dataset, captured in the HKUST Main Building, provides a benchmark for evaluating localization and mapping algorithms against ground-truth BIM. Although his most-cited works are recent (2025), each has already garnered 2–4 citations, signaling growing recognition. Liu’s work is notable for bridging the gap between robot perception and construction informatics, offering practical tools for autonomous navigation in complex built environments.