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Object Handovers: a Review for Robotics

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arxiv 2007.12952 v2 pith:6YWT2DVH submitted 2020-07-25 cs.RO cs.SYeess.SY

classification cs.ROcs.SYeess.SY
keywords handoversobjectphysicalexchangegiverreceiverroboticreview
verification ladder T0 review T1 audit T2 compute T3 formal
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This article surveys the literature on human-robot object handovers. A handover is a collaborative joint action where an agent, the giver, gives an object to another agent, the receiver. The physical exchange starts when the receiver first contacts the object held by the giver and ends when the giver fully releases the object to the receiver. However, important cognitive and physical processes begin before the physical exchange, including initiating implicit agreement with respect to the location and timing of the exchange. From this perspective, we structure our review into the two main phases delimited by the aforementioned events: 1) a pre-handover phase, and 2) the physical exchange. We focus our analysis on the two actors (giver and receiver) and report the state of the art of robotic givers (robot-to-human handovers) and the robotic receivers (human-to-robot handovers). We report a comprehensive list of qualitative and quantitative metrics commonly used to assess the interaction. While focusing our review on the cognitive level (e.g., prediction, perception, motion planning, learning) and the physical level (e.g., motion, grasping, grip release) of the handover, we briefly discuss also the concepts of safety, social context, and ergonomics. We compare the behaviours displayed during human-to-human handovers to the state of the art of robotic assistants, and identify the major areas of improvement for robotic assistants to reach performance comparable to human interactions. Finally, we propose a minimal set of metrics that should be used in order to enable a fair comparison among the approaches.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Multimodal Human-Intent Modeling for Contextual Robot-to-Human Handovers of Arbitrary Objects

    cs.RO 2025-08 conditional novelty 5.0 of 10

    A gaze-plus-language pipeline enables a robot to select tabletop objects from a remote user's monitor and generate human-aware grasps for handover, with real-world tests on YCB objects.

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