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About

Sangyoon Park is a leading researcher at the intersection of robotics, construction automation, and geospatial data processing. His work focuses on developing intelligent systems for autonomous data acquisition and analysis in the built environment. Park’s major contributions include pioneering the integration of quadruped walking robots with Building Information Modeling (BIM) for optimized scan planning, a breakthrough that enables automated, full-coverage point cloud collection from large-scale construction sites. His highly cited 2023 paper on this topic (32 citations) has become a foundational reference in robotic scanning. Additionally, Park has advanced automated point cloud registration for stop-and-go scanning systems, solving a critical post-processing bottleneck in mobile laser scanning. His research on frameworks for mapping and detecting changes in repeatedly collected massive point clouds (2019) provides essential tools for construction progress monitoring and quality control. With a growing citation record and work published in top venues like the International Symposium on Automation and Robotics in Construction (ISARC), Park is establishing himself as a key innovator in making construction sites smarter, safer, and more efficient through robotic sensing and automation.