论文标题
避风港：基于团结的虚拟机器人环境，以展示基于HRI的增强现实
HAVEN: A Unity-based Virtual Robot Environment to Showcase HRI-based Augmented Reality
论文作者
论文摘要
由于共同199的大流行，由于社会疏远的实践限制了病毒的传播，因此不允许亲自进行人类机器人相互作用（HRI）研究。因此，具有虚拟机器人的虚拟现实（VR）模拟可能会提供现实生活中HRI研究的替代方法。就像真正的智能机器人一样，虚拟机器人可以利用相同的高级算法进行自主行为。本文介绍了Haven（使用Unity在虚拟机器人环境中基于HRI的增强），这是一个VR模拟，使用户能够与虚拟机器人进行交互。该系统设计的目的是使研究人员能够使用虚拟机器人进行HRI增强现实研究，而不会在真实的环境中进行。该框架还介绍了两个常见的HRI实验设计：一个传递场景和人类机器人团队对象检索场景。两者都反映了Haven作为将来基于AR的HRI研究工具的潜力。
Due to the COVID-19 pandemic, conducting Human-Robot Interaction (HRI) studies in person is not permissible due to social distancing practices to limit the spread of the virus. Therefore, a virtual reality (VR) simulation with a virtual robot may offer an alternative to real-life HRI studies. Like a real intelligent robot, a virtual robot can utilize the same advanced algorithms to behave autonomously. This paper introduces HAVEN (HRI-based Augmentation in a Virtual robot Environment using uNity), a VR simulation that enables users to interact with a virtual robot. The goal of this system design is to enable researchers to conduct HRI Augmented Reality studies using a virtual robot without being in a real environment. This framework also introduces two common HRI experiment designs: a hallway passing scenario and human-robot team object retrieval scenario. Both reflect HAVEN's potential as a tool for future AR-based HRI studies.
