Hyungju Park

Papers

Total Citations

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About

Hyungju Park is a researcher whose work lies at the intersection of construction automation, robotics, and intelligent control systems. His primary research areas include automated excavation, neural network-based soil modeling, and optimal path generation for heavy machinery. Park’s most notable contribution is his pioneering approach to automating excavator operations by integrating neural networks with soil mechanics, enabling machines to adapt their digging trajectories in real time based on varying ground conditions. His 2008 paper, "Optimal path generation for excavator with neural networks based soil models," which has garnered 15 citations, introduced a method that simultaneously optimizes bucket volume, reachability, and time efficiency—a foundational step toward fully autonomous construction equipment. This work addresses critical challenges in the field, such as balancing payload capacity with mechanical constraints, and has influenced subsequent research in robotic excavation and off-road autonomous navigation. Park’s research continues to push the boundaries of how artificial intelligence can enhance the productivity and safety of heavy machinery in unstructured environments, making him a key figure in the advancement of smart construction technologies.