Yuya Todoriki

Gunma Prefectural Fisheries Experimental Station

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About

Yuya Todoriki is a researcher at the forefront of agricultural robotics, specializing in the application of computer vision and deep learning to automate complex food processing tasks. His primary research focuses on developing intelligent robotic systems for post-harvest handling, with a particular emphasis on the automation of delicate operations such as fruit peeling. In his most cited work, "Detection of Persimmon Posture by a Convolutional Neural Network for Fully Automating the Peeling Process" (2022, 4 citations), Todoriki tackles a critical bottleneck in dried persimmon production. He pioneered the use of a convolutional neural network (CNN) to enable a robot to rapidly and robustly detect the random orientation of persimmons, allowing for precise pick-and-place and fully automated peeling. This contribution is notable for bridging the gap between advanced machine vision and practical agricultural machinery, directly addressing a labor-intensive process that has resisted automation. Todoriki’s work demonstrates a clear impact by providing a scalable, sensor-driven solution that enhances efficiency and consistency in food manufacturing, marking him as an innovator in the niche but vital field of agricultural robotics.