Yuto Inagaki

Papers

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About

Yuto Inagaki is a robotics researcher whose work focuses on advancing the reliability and dexterity of robotic manipulation, particularly in cluttered and unstructured environments. His key research areas include object picking, whole-body holding manipulation, and humanoid robotics. Inagaki’s most notable contribution is his “Pick-and-verify” system, which introduces a verification-based approach to significantly improve picking reliability for various target objects in clutter. This work, presented in 2017, addresses a critical shortcoming in automation—where even top-performing teams in the Amazon Picking Challenge struggled with accuracy—and has garnered 8 citations for its practical impact on industrial automation. Additionally, his 2015 study on whole-body holding manipulation by humanoid robots proposes a novel method for generating transition graphs based on geometric and physical constraints, enabling stable manipulation of handleless large objects. This research, with 5 citations, showcases his ability to tackle complex, real-world robotic challenges. Inagaki’s work is essential reading for students and researchers interested in bridging the gap between robotic perception and physical interaction, offering innovative solutions that enhance both the precision and versatility of autonomous systems in demanding settings.