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About

Satoru Nakamura is a leading researcher in construction robotics and automation, with a focus on intelligent systems for infrastructure maintenance and waste management. His work integrates computer vision, control theory, and bio-inspired algorithms to solve real-world construction challenges. Nakamura’s most cited paper, “Sorting System for Recycling of Construction Byproducts with Bayes’ Theorem-Based Robot Vision” (8 citations), pioneered a probabilistic approach to material identification, enabling safer and more efficient sorting of construction waste. He has also made significant contributions to robotic manipulation, including the development of an underactuated hammering robot with a velocity control mechanism for gravity compensation (7 citations), and a variable guide frame system for tunnel wall inspection (5 citations). His research on hill-climbing navigation using information entropy (4 citations) draws inspiration from ant foraging behavior, offering novel solutions for robot path planning in unpredictable environments. More recently, Nakamura has advanced direct-visual-operation support systems for unmanned construction (2 citations), addressing critical safety and efficiency issues in hazardous worksites. With a career spanning over a decade, Nakamura’s work has laid the groundwork for smarter, safer, and more autonomous construction processes, earning recognition at international conferences like ISARC.