English

A Taxonomy of Self-Handover

Robotics 2025-04-09 v2 Artificial Intelligence Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.2504.04939,
  title  = {A Taxonomy of Self-Handover},
  author = {Naoki Wake and Atsushi Kanehira and Kazuhiro Sasabuchi and Jun Takamatsu and Katsushi Ikeuchi},
  journal= {arXiv preprint arXiv:2504.04939},
  year   = {2025}
}

Comments

8 pages, 8 figures, 1 table, Last updated on April 7th, 2025

R2 v1 2026-06-28T22:49:13.886Z