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arXiv 2409.07155cs.RO

面向人机协作的柔顺盲交接控制

Compliant Blind Handover Control for Human-Robot Collaboration

University of Modena and Reggio Emilia(摩德纳与雷焦艾米利亚大学)

Davide Ferrari, Andrea Pupa, Cristian Secchi

AI总结:

针对人机协作中操作者背对机器人的盲交接场景,提出自主交接架构,解决递送安全与物品释放时机问题,推动人机协作协议发展与高效协作。

摘要:

本文提出了一种人机协作(Human-Robot Collaboration, HRC)场景下的人机盲交接架构。研究聚焦于盲交接场景:操作者刻意背对机器人、专注于自身任务,需要从机器人处获取物品。在此场景下,机器人必须自主管理整个交接流程,核心考量包括将物品递送到操作者手中时确保安全性,以及检测释放物品的合适时机。本文探索了应对这些挑战的策略,强调机器人需安全、独立地完成盲交接任务,从而推动HRC协议的发展,促进人机之间自然、高效的协作。

英文摘要:

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 an object from the robot. In this context, it is imperative for the robot to autonomously manage the entire handover process. Key considerations include ensuring safety while handing the object to the operator's hand, and detect the proper timing to release the object. The article explores strategies to navigate these challenges, emphasizing the need for a robot to operate safely and independently in facilitating blind handovers, thereby contributing to the advancement of HRC protocols and fostering a natural and efficient collaboration between humans and robots.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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