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About

Jeonghwan Kim is a researcher specializing in construction robotics, human-robot collaboration, and autonomous excavation systems. His work bridges the gap between advanced robotic technologies and real-world construction applications, with a particular focus on improving safety, productivity, and efficiency on job sites. Kim's most influential contribution lies in his pioneering use of immersive virtual environments to study human-robot interaction in construction settings. His 2018 paper on enhancing perceived safety in human-robot collaborative construction has garnered 185 citations, establishing him as a leading voice in this emerging field. This work addresses critical safety concerns as collaborative robots become increasingly prevalent on construction sites. Beyond human-robot interaction, Kim has made substantial contributions to intelligent excavation systems. His research on task planning for automated excavators — including heuristics-based planning frameworks and modular data communication methods — has helped lay the technical groundwork for autonomous earthmoving machinery, with his 2011 task planner paper earning 90 citations. Collectively, Kim's research reflects a comprehensive vision for the future of construction automation, tackling both the human and machine dimensions of robotic integration. His work is essential reading for researchers and practitioners seeking to understand the evolving role of robotics in the construction industry.