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Related papers: A Study of Human-Robot Handover through Human-Huma…

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This paper presents a Human-Robot Blind Handover architecture within the context of Human-Robot Collaboration (HRC). The focus lies on a blind handover scenario where the operator is intentionally faced away, focused in a task, and requires…

Robotics · Computer Science 2024-09-12 Davide Ferrari , Andrea Pupa , Cristian Secchi

Tactile interaction plays an essential role in human-to-human interaction. People gain comfort and support from tactile interactions with others and touch is an important predictor for trust. While touch has been explored as a communicative…

Robotics · Computer Science 2024-11-20 Qiaoqiao Ren , Tony Belpaeme

Bidirectional object handover between a human and a robot enables an important functionality skill in robotic human-centered manufacturing or services. The problem in achieving this skill lies in the capacity of any solution to deal with…

Robotics · Computer Science 2022-06-22 Mohamed Djeha , Antonin Dallard , Ahmed Zermane , Pierre Gergondet , Abderrahmane Kheddar

We introduce a new simulation benchmark "HandoverSim" for human-to-robot object handovers. To simulate the giver's motion, we leverage a recent motion capture dataset of hand grasping of objects. We create training and evaluation…

Recent advancements in robotics have increased the possibilities for integrating robotic systems into human-involved workplaces, highlighting the need to examine and optimize human-robot coordination in collaborative settings. This study…

Robotics · Computer Science 2025-11-26 Róisín Keenan , Joost C. Dessing

Tactile interaction plays a crucial role in interactions between people. Touch can, for example, help people calm down and lower physiological stress responses. Consequently, it is believed that tactile and haptic interaction matter also in…

Robotics · Computer Science 2022-11-03 Qiaoqiao Ren , Tony Belpaeme

In recent years, there has been a significant effort dedicated to developing efficient, robust, and general human-to-robot handover systems. However, the area of flexible handover in the context of complex and continuous objects' motion…

Robotics · Computer Science 2023-08-31 Gu Zhang , Hao-Shu Fang , Hongjie Fang , Cewu Lu

Human-robot object handover is a crucial element for assistive robots that aim to help people in their daily lives, including elderly care, hospitals, and factory floors. The existing approaches to solving these tasks rely on pre-selected…

Robotics · Computer Science 2025-08-06 Lucas Chen , Guna Avula , Hanwen Ren , Zixing Wang , Ahmed H. Qureshi

Handing objects to humans is an essential capability for collaborative robots. Previous research works on human-robot handovers focus on facilitating the performance of the human partner and possibly minimising the physical effort needed to…

Collaborative space robots are an emerging technology with high impact as robots facilitate servicing functions in collaboration with astronauts with higher precision during lengthy tasks, under tight operational schedules, with less risk…

Robotics · Computer Science 2020-09-22 Adriana Fernandes , Rodrigo Ventura

This paper presents a novel learning-based approach to dynamic robot-to-human handover, addressing the challenges of delivering objects to a moving receiver. We hypothesize that dynamic handover, where the robot adjusts to the receiver's…

Robotics · Computer Science 2025-02-19 Hyeonseong Kim , Chanwoo Kim , Matthew Pan , Kyungjae Lee , Sungjoon Choi

Existing approaches to direct robot-to-human handovers are typically implemented on fixed-base robot arms, or on mobile manipulators that come to a full stop before performing the handover. We propose "on-the-go" handovers which permit a…

Robotics · Computer Science 2022-10-04 Kerry He , Pradeepsundar Simini , Wesley Chan , Dana Kulić , Elizabeth Croft , Akansel Cosgun

Reasoning about object handover configurations allows an assistive agent to estimate the appropriateness of handover for a receiver with different arm mobility capacities. While there are existing approaches for estimating the effectiveness…

Humans have an extraordinary ability to communicate and read the properties of objects by simply watching them being carried by someone else. This level of communicative skills and interpretation, available to humans, is essential for…

Human-human joint-action in short-cycle repetitive handover tasks was investigated for a bottle handover task using a three-fold approach: work-methods field studies in multiple supermarkets, simulation analysis using an ergonomics software…

Human-Computer Interaction · Computer Science 2017-08-31 Roy Someshwar , Yael Edan

Robots come in various forms and have different characteristics that may shape the interaction with them. In human-human interactions, height is a characteristic that shapes human dynamics, with taller people typically perceived as more…

Object handover is a common form of interaction that is widely present in collaborative tasks. However, achieving it efficiently remains a challenge. We address the problem of ensuring resilient robotic actions that can adapt to complex…

Robotics · Computer Science 2026-04-30 Omar Faris , Sławomir Tadeja , Fulvio Forni

Most research on human-robot handovers focuses on the development of comfortable and efficient HRI; few have studied handover failures. If a failure occurs in the beginning of the interaction, it prevents the whole handover process and…

Robotics · Computer Science 2021-11-30 Zhao Han , Holly A. Yanco

Humans frequently grasp, manipulate, and move objects. Interactive systems assist humans in these tasks, enabling applications in Embodied AI, human-robot interaction, and virtual reality. However, current methods in hand-object synthesis…

Robotics · Computer Science 2025-03-10 Sammy Christen

Robots are expected to grasp a wide range of objects varying in shape, weight or material type. Providing robots with tactile capabilities similar to humans is thus essential for applications involving human-to-robot or robot-to-robot…

Robotics · Computer Science 2022-07-26 Pedro Machado , T. M. McGinnity