A Taxonomy of Self-Handover

Wake, Naoki, Kanehira, Atsushi, Sasabuchi, Kazuhiro, Takamatsu, Jun, Ikeuchi, Katsushi

arXiv.org Artificial Intelligence 

--Self-handover, transferring an object between one's own hands, is a common but understudied bimanual action. While it facilitates seamless transitions in complex tasks, the strategies underlying its execution remain largely unexplored. Here, we introduce the first systematic taxonomy of self-handover, derived from manual annotation of over 12 hours of cooking activity performed by 21 participants. Our analysis reveals that self-handover is not merely a passive transition, but a highly coordinated action involving anticipatory adjustments by both hands. As a step toward automated analysis of human manipulation, we further demonstrate the feasibility of classifying self-handover types using a state-of-the-art vision-language model. These findings offer fresh insights into bimanual coordination, underscoring the role of self-handover in enabling smooth task transitions--an ability essential for adaptive dual-arm robotics. UMANS skillfully perform coordinated bimanual actions in everyday life. Among them, self-handover -- transferring an object between one's own hands without intermediate placement--is remarkably common, yet largely overlooked [1], [2]. We define self-handover as the transition from holding an object with one hand to either passing it to the other hand or engaging both hands in manipulation.

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