Masato Fukui

Papers

Total Citations

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About

Masato Fukui is a researcher at the forefront of embedded and robotic systems, with a primary focus on the intersection of the Internet of Things (IoT), edge computing, and autonomous mobile robotics. His most cited work, "IoT Edge Server ROS Node Allocation Method for Multi-SLAM on Many-core" (2022), addresses a critical bottleneck in deploying multiple autonomous robots for real-world services like drone delivery and nurse care. Fukui’s key contribution lies in optimizing Simultaneous Localization and Mapping (SLAM) performance by intelligently allocating ROS (Robot Operating System) nodes across many-core edge servers. This method ensures that multiple robots can simultaneously and efficiently create environmental maps without overwhelming computational resources, a vital step toward scalable multi-robot systems. While his citation count is currently modest (5 citations for his top paper), his work is strategically positioned within the rapidly growing fields of edge AI and service robotics. By tackling the challenge of real-time, distributed SLAM on resource-constrained hardware, Fukui is helping pave the way for practical, large-scale deployments of autonomous robots in healthcare, logistics, and beyond.