mlsanityData to 7 Oct 2026

Object Handovers: a Review for Robotics

arXiv 2007.12952 ↗First posted 25 Jul 2020cs.RO cs.SY eess.SYcited by 28

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Abstract (arXiv)

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.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Jul 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 9; 2023: 6; 2024: 5; 2025: 2; 2026: 4.

28 papers.

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  1. 2023Learning Human-to-Robot Handovers from Point Cloudscited by 34
  2. 2022HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handoverscited by 15
  3. 2024GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitationcited by 14
  4. 2023SynH2R: Synthesizing Hand-Object Motions for Learning Human-to-Robot Handoverscited by 13
  5. 2023HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTscited by 12
  6. 2022Model Predictive Control for Fluid Human-to-Robot Handoverscited by 9
  7. 2023HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Countcited by 7
  8. 2024Safety Control of Service Robots with LLMs and Embodied Knowledge Graphscited by 7
  9. 2021The CORSMAL benchmark for the prediction of the properties of containerscited by 6
  10. 2023ROSGPT_Vision: Commanding Robots Using Only Language Models' Promptscited by 4
  11. 2022A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containerscited by 3
  12. 2024ContactHandover: Contact-Guided Robot-to-Human Object Handovercited by 3
16 more
  1. 2022Improving Generalization of Deep Networks for Estimating Physical Properties of Containers and Fillingscited by 2
  2. 2022Container Localisation and Mass Estimation with an RGB-D Cameracited by 2
  3. 2022Audio-Visual Object Classification for Human-Robot Collaborationcited by 2
  4. 2024Stereo Hand-Object Reconstruction for Human-to-Robot Handovercited by 2
  5. 2022Learning to Detect Slip with Barometric Tactile Sensors and a Temporal Convolutional Neural Networkcited by 1
  6. 2022FuRPE: Learning Full-body Reconstruction from Part Expertscited by 1
  7. 2023GoferBot: A Visual Guided Human-Robot Collaborative Assembly Systemcited by 1
  8. 2021Under Pressure: Learning to Detect Slip with Barometric Tactile Sensorscited by 0
  9. 2022Robot to Human Object Handover using Vision and Joint Torque Sensor Modalitiescited by 0
  10. 2024Kinematically Constrained Human-like Bimanual Robot-to-Human Handoverscited by 0
  11. 2025Intent-Handover: Grounding Language in Human-Usage Regions for Trustworthy Robot-to-Human Handoverscited by 0
  12. 2025Learning Dexterous Object Handovercited by 0
  13. 2026A Distributed Multi-Modal Sensing Approach for Human Activity Recognition in Real-Time Human-Robot Collaborationcited by 0
  14. 2026Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IGcited by 0
  15. 2026A Multimodal RGB and Events Dataset for Hand Detection in First-Person Viewcited by 0
  16. 2026RGB-D Video Generation for Improving Human-to-Robot Object Handover Predictioncited by 0