A Taxonomy of Self-Handover
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 32 references that are in the map. First posted on arXiv 7 Apr 2025.
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References · 18
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6 more
- 2021Combined Sampling and Optimization Based Planning for Legged-Wheeled Robotscited by 3
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- 2026Temporal Tactile Encoding and Compliance for Intent-Aware Robot-to-Human Bimanual Handover ↗
- 2026One Body, Two Minds: Variable Autonomy Approach for a Co-embodied Robotic Hand ↗
- 2025Modeling Dynamic Hand-Object Interactions with Applications to Human-Robot Handovers ↗
- 2026JOIN: Anchor-Grasp-Conditioned Joining via Opposition, Inference, and Navigation for Bimanual Assistive Manipulation ↗
- 2026HandX: Scaling Bimanual Motion and Interaction Generation
- 2025ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning
- 2026Reactive Task-Oriented Robot-Human Handovers via Generative Hypothesis Selection ↗
- 2023Stabilize to Act: Learning to Coordinate for Bimanual Manipulation