Hiroaki Kageyama

Papers

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About

Hiroaki Kageyama is a leading researcher in autonomous mobile robotics, with a primary focus on addressing critical labor shortages through intelligent automation. His work centers on path planning and navigation systems for logistics environments, where he has made significant contributions to hierarchical mapping strategies. Kageyama’s most influential paper, “Local and Global Path Planning for Autonomous Mobile Robots Using Hierarchized Maps” (2022), introduces a novel framework that integrates both local and global navigation layers, enabling robots to operate efficiently in complex, dynamic warehouses. This work has garnered 9 citations and is recognized for its practical approach to real-world deployment challenges. Kageyama’s research directly tackles the pressing “labor crisis” in logistics by advancing the reliability and autonomy of mobile robots. His contributions are shaping the next generation of intelligent material handling systems, offering scalable solutions for industries facing workforce reductions. Through his innovative mapping techniques, Kageyama continues to push the boundaries of autonomous navigation, making him a key figure in the intersection of robotics and industrial efficiency.