Max Robotics — Global Service Robot Directory + US Certification

About

Pileun Kim is a prominent researcher specializing in autonomous robotics, simultaneous localization and mapping (SLAM), and 3D data collection for construction and built environments. His work sits at the intersection of computer vision, robotic navigation, and spatial data processing, with a particular focus on deploying intelligent mobile robots in complex, real-world settings. Kim's most influential contribution, "SLAM-driven robotic mapping and registration of 3D point clouds" (2018), has garnered 243 citations and established foundational methods for automating geometric data capture in construction environments. Building on this, his research into UAV-UGV cooperative systems demonstrated how aerial and ground vehicles can complement each other's limitations — with UAVs providing broader environmental perception to guide ground robots through cluttered spaces — a body of work collectively earning over 140 additional citations. His contributions extend to thermal-mapped point clouds for object recognition, object-sensitive navigation frameworks for indoor environments, and autonomous localization in unmapped construction sites. Collectively, Kim's research has significantly advanced the practical deployment of intelligent robotic systems for as-is documentation, construction monitoring, and site safety. His work remains highly relevant for researchers and practitioners seeking to automate data collection in dynamic, unstructured environments.