Yusuke Ibuki

Papers

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About

Yusuke Ibuki is a robotics researcher whose work focuses on automating retail and service environments through intelligent manipulation and perception systems. His primary research areas include dual-arm robotic systems, object detection, and pose estimation for real-world applications. Ibuki’s most notable contribution is the development of a display and disposal work system for convenience stores using a dual-arm robot (2022, 12 citations), which addresses the practical challenge of automating shelf stocking and waste removal in cluttered retail spaces. This work demonstrates how coordinated robotic arms can perform complex, human-like tasks in dynamic environments. Additionally, Ibuki has advanced pose estimation techniques through selective instance segmentation (2022, 3 citations), tackling the computational bottleneck of real-time robot movement by reducing the parameter load in conventional segmentation models. His research bridges the gap between high-accuracy computer vision and the speed required for practical automation. By focusing on the intersection of manipulation and perception, Ibuki is helping to pave the way for more autonomous and efficient retail operations, making his work highly relevant for students and researchers interested in service robotics and industrial automation.