Papers
7
Total Citations
71
H-Index
4
About
Yuma Yoshimoto is a robotics and artificial intelligence researcher whose work spans intelligent sensing systems, service robotics, and hardware-accelerated deep learning. His early contributions focused on ambient intelligence, most notably the Robotic Room system (2002), which pioneered the recognition and accumulation of human behavior in everyday environments by analyzing human position, posture, and surrounding objects — a foundational concept in smart living spaces that has garnered 29 citations. Over the following decades, Yoshimoto shifted toward practical service robot deployment, contributing to the long-running Hibikino-Musashi@Home team based in Kitakyushu, Japan, whose competitive RoboCup@Home work has attracted 15 citations. A particularly notable technical achievement is his development of the Binarized Dual Stream VGG-16 network implemented on FPGA hardware (2021, 14 citations), enabling high-speed, low-power object recognition suitable for real-world robotic platforms. His more recent research explores ROS2-integrated autonomous vehicles and drone-robot collaboration systems, reflecting a commitment to bridging cutting-edge machine learning with practical embedded systems. Across his career, Yoshimoto has consistently pursued the goal of making intelligent robots more capable and deployable in human-centered environments.
Research Focus
Key Achievements
Top Papers
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- 2Hibikino-Musashi@Home 2017 Team Description Paper15 citations · 2017
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