Yuya Tatsuta

Nara Institute of Science and Technology

Papers

Total Citations

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About

Yuya Tatsuta is a robotics researcher whose work sits at the intersection of automation, computer vision, and machine learning, with a particular focus on intelligent robotic systems for real-world applications. His most notable contribution to date is the development of a robotic waste sorting system that addresses the growing challenge of labor shortages in waste management industries. Published in 2021 and accumulating 33 citations, this work introduces an innovative framework combining agile robotic manipulation with a quickly trainable object detection pipeline, effectively enabling robots to replicate the dexterity and adaptability of human sorters. By tackling both the perception and physical interaction challenges inherent in unstructured waste environments, Tatsuta's research advances the practical deployment of automation in settings that have historically resisted it. His approach emphasizes rapid adaptability — a critical requirement when dealing with the enormous variety of waste materials encountered in real sorting facilities. This work positions Tatsuta as an emerging contributor to applied robotics, particularly in domains where automation carries significant societal and environmental implications, including sustainability and workforce transformation.