Max Robotics — Global Service Robot Directory + US Certification

About

Hyungjung Kim is a leading researcher at the intersection of smart manufacturing, robotics, and artificial intelligence, with a focus on transforming industrial operations through digital twin technology and machine learning. His work centers on developing intelligent automation systems that enhance safety, efficiency, and sustainability in high-risk environments, particularly in nuclear power plants and advanced manufacturing facilities. Kim's most influential paper, "Smart Machining Process Using Machine Learning" (2018, 279 citations), provides a comprehensive review that has become a foundational reference for integrating AI into machining processes. He has pioneered the application of digital twins combined with deep reinforcement learning for robotic automation in confined workspaces, notably demonstrated in his nozzle dam replacement case study for nuclear power plants. His research on smart factory transformation from an ESG perspective (2023, 21 citations) addresses the critical intersection of Industry 4.0 technologies with environmental and social governance. Kim's recent work on real-time collision risk prediction for collaborative robots (2025) showcases his commitment to advancing human-robot interaction safety. His innovative approaches to degraded robot manipulator control and confined-space automation have positioned him as a key contributor to the future of intelligent, sustainable manufacturing systems.