Sota Akamine
Papers
3
Total Citations
15
H-Index
2
About
Sota Akamine is a robotics researcher focused on real-time environmental perception for autonomous systems, particularly in challenging conditions like low-light or high-speed motion. His work centers on developing low-cost, robust sensing solutions for disaster response and mobile robotics. Akamine’s major contribution is a novel algorithm that enables autonomous mobile robots equipped with a monocular camera and cross-line laser to measure obstacle distances in real time, independent of ambient brightness. This breakthrough, detailed in his 2022 paper “Real-time obstacle detection in a darkroom using a monocular camera and a line laser” (10 citations), directly addresses the critical need for rapid victim detection in dark disaster zones. He further advanced this with brightness-independent distance measurement using YUV binarization (2023, 4 citations). Most recently, Akamine has tackled LiDAR motion blur with “HPRDenoise: Point cloud denoising with hidden point removal” (2024, 1 citation), enabling accurate detection of people in sprinting motion. His cumulative work demonstrates a clear trajectory toward practical, real-time sensing for rescue robots, with impact growing steadily in the robotics community.
Research Focus
Key Achievements
Top Papers
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