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arXiv 2404.04069cs.RO
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面向社会机器人导航的双向人机交互人工智能框架

Bidirectional Human Interactive AI Framework for Social Robot Navigation

TUBITAK BILGEM(土耳其科学技术研究理事会信息与信息技术研究所);Bogazici University(博阿齐奇大学)

Tuba Girgin, Emre Girgin, Yigit Yildirim, Emre Ugur, Mehmet Haklidir

AI总结:

本文提出一个双向人机交互框架,结合机器人语言交流与人类手势引导,使移动机器人能预测行人轨迹并动态调整路径,从而提升社会导航的可信赖性。

摘要:

可信赖性是人机交互中的一个关键概念。协作机器人必须对其决策过程保持透明,尤其是在面向人类的环境中运行时。本文提出了一个全面的端到端框架,旨在协作环境中促进移动机器人社会导航的可信赖双向人机交互。在该框架中,机器人通过语言进行交流,而人类则通过手势进行引导。我们的方法使移动机器人能够预测行人的轨迹,并以具有社会意识的方式调整其路径。当通过视觉检测发现人类与机器人决策之间发生冲突时,路径会根据人类偏好动态修改,同时保持语言交流。我们介绍了构成我们主张基础的流程、框架设计以及初步实验。

英文摘要:

Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when operating in a human-oriented environment. This paper presents a comprehensive end-to-end framework aimed at fostering trustworthy bidirectional human-robot interaction in collaborative environments for the social navigation of mobile robots. In this framework, the robot communicates verbally while the human guides with gestures. Our method enables a mobile robot to predict the trajectory of people and adjust its route in a socially-aware manner. In case of conflict between human and robot decisions, detected through visual examination, the route is dynamically modified based on human preference while verbal communication is maintained. We present our pipeline, framework design, and preliminary experiments that form the foundation of our proposition.

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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