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arXiv 2005.00825cs.ROcs.HC
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SIGVerse:一个基于云的VR平台,用于研究社交和具体的人机交互

SIGVerse: A cloud-based VR platform for research on social and embodied human-robot interaction

National Institute of Informatics(国立信息学研究所)

Tetsunari Inamura, Yoshiaki Mizuchi

摘要:

与日常生活环境相关的常识和社会互动对于支持人类活动的自主机器人来说非常重要。在人类活动中获取诸如社会互动技能和常识等语义信息的实用方法之一是应用最新的机器学习技术。尽管最近的机器学习技术已成功实现自动操纵和驾驶任务,但很难将这些技术用于需要人机交互经验的应用中。人类必须在很长一段时间内进行多次表演,才能向机器人或学习系统展示具体的和社会互动的行为。为了解决这个问题,我们提出了一个基于云的沉浸式虚拟现实(VR)平台,使虚拟人与机器人的互动,以收集在各种情况下的人类活动的社会和具体的知识。为了实现系统的灵活性和可重用性,我们开发了ROS和Unity之间的实时桥接机制,这是开发VR应用程序的标准平台之一。我们将该系统应用于一个名为RoboCup@Home的机器人比赛场,以确认该系统在现实的人机交互场景中的可行性。通过在比赛中的演示实验,我们展示了该系统的实用性和潜力,通过人机交互的社会智能的发展和评估。所提出的VR平台使机器人系统能够在短时间内收集与多个用户的社交体验。该平台还有助于提供社交行为数据集,这将是智能服务机器人基于机器学习技术获得社交互动技能的关键方面。

英文摘要:

Common sense and social interaction related to daily-life environments are considerably important for autonomous robots, which support human activities. One of the practical approaches for acquiring such social interaction skills and semantic information as common sense in human activity is the application of recent machine learning techniques. Although recent machine learning techniques have been successful in realizing automatic manipulation and driving tasks, it is difficult to use these techniques in applications that require human-robot interaction experience. Humans have to perform several times over a long term to show embodied and social interaction behaviors to robots or learning systems. To address this problem, we propose a cloud-based immersive virtual reality (VR) platform which enables virtual human-robot interaction to collect the social and embodied knowledge of human activities in a variety of situations. To realize the flexible and reusable system, we develop a real-time bridging mechanism between ROS and Unity, which is one of the standard platforms for developing VR applications. We apply the proposed system to a robot competition field named RoboCup@Home to confirm the feasibility of the system in a realistic human-robot interaction scenario. Through demonstration experiments at the competition, we show the usefulness and potential of the system for the development and evaluation of social intelligence through human-robot interaction. The proposed VR platform enables robot systems to collect social experiences with several users in a short time. The platform also contributes in providing a dataset of social behaviors, which would be a key aspect for intelligent service robots to acquire social interaction skills based on machine learning techniques.

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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