Yohei HOSHINO
Papers
38
Total Citations
757
H-Index
13
About
Yohei Hoshino is a robotics researcher whose work spans autonomous mobile robot navigation, simultaneous localization and mapping (SLAM), agricultural robotics, and motion planning. He is perhaps best known for his highly influential 2018 survey on path smoothing techniques in robot navigation, which has accumulated nearly 300 citations and serves as a foundational reference for researchers tackling the challenge of generating smooth, efficient trajectories for mobile robots. His earlier contributions to line detection algorithms using SVD and Hough transforms, as well as frameworks for indoor robot mapping in noisy environments, demonstrate a sustained expertise in sensor-based localization and environmental perception. Hoshino has also made meaningful strides in agricultural automation, developing autonomous vineyard navigation systems with collision avoidance and low-cost semantic monitoring platforms — work that directly addresses real-world labor challenges in viticulture. More recently, his development of a pumpkin-harvesting robot integrating YOLO-based AI detection and RGB-D sensing highlights his growing interest in agricultural manipulation. Complementing these contributions is earlier foundational research on mobile manipulator dynamics and vibration reduction via particle swarm optimization. With over 500 cumulative citations, Hoshino's career reflects a productive bridge between theoretical robotics and practical, field-deployable systems.
Research Focus
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