While we can see robots in more areas of our lives, they still make errors. One common cause of failure stems from the robot perception module when detecting objects. Allowing users to correct such errors can help improve the interaction and prevent the same errors in the future. Consequently, we investigate the effectiveness of a virtual reality (VR) framework for correcting perception errors of a Franka Panda robot. We conducted a user study with 56 participants who interacted with the robot using both VR and screen interfaces. Participants learned to collaborate with the robot faster in the VR interface compared to the screen interface. Additionally, participants found the VR interface more immersive, enjoyable, and expressed a preference for using it again. These findings suggest that VR interfaces may offer advantages over screen interfaces for human-robot interaction in erroneous environments.

翻译：尽管我们在日常生活中越来越多地看到机器人的身影，但它们仍然会犯错。机器人感知模块在检测物体时出现故障是常见的失败原因之一。允许用户纠正此类错误有助于改善人机交互，并防止未来再次出现相同错误。为此，我们探究了用于纠正Franka Panda机器人感知错误的虚拟现实框架的有效性。我们开展了一项包含56名参与者的用户研究，参与者分别通过虚拟现实界面和屏幕界面与机器人进行交互。相较于屏幕界面，采用虚拟现实界面的参与者能更快地学会与机器人协作。此外，参与者认为虚拟现实界面更具沉浸感和趣味性，并表达了再次使用的倾向。这些发现表明，在存在错误的环境中，虚拟现实界面可能比屏幕界面更具人机交互优势。