SEAN-VR:用于评估社交机器人导航的沉浸式虚拟现实体验

IF 4.2 Q2 ROBOTICS ACM Transactions on Human-Robot Interaction Pub Date : 2023-03-13 DOI:10.1145/3568294.3580039

Qiping Zhang, Nathan Tsoi, Marynel Vázquez

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引用次数: 1

摘要

我们提出了一个虚拟现实(VR)自主导航的社会环境演示，以推进人机交互的研究。在我们的演示中，用户在模拟中控制虚拟化身，并在仓库环境中使用移动机器人执行定向导航任务。我们的演示展示了研究人员如何利用VR的沉浸式本质，在人口密集的环境中从以用户为中心的角度研究机器人导航，同时避免现实世界中操作机器人常见的物理安全问题。这对于研究与处于开发生命周期早期的算法驱动的机器人的交互非常重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SEAN-VR: An Immersive Virtual Reality Experience for Evaluating Social Robot Navigation

We propose a demonstration of the Social Environment for Autonomous Navigation with Virtual Reality (VR) for advancing research in Human-Robot Interaction. In our demonstration, a user controls a virtual avatar in simulation and performs directed navigation tasks with a mobile robot in a warehouse environment. Our demonstration shows how researchers can leverage the immersive nature of VR to study robot navigation from a user-centered perspective in densely populated environments while avoiding physical safety concerns common with operating robots in the real world. This is important for studying interactions with robots driven by algorithms that are early in their development lifecycle.

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来源期刊

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

期刊介绍： ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.