NRI-Small: Spacial Primitives for Enabling Situated Human-Robot Interaction

NRI-Small：用于实现情境人机交互的空间基元

• 批准号: 1208500
• 负责人: Maja Matarić
• 金额: $ 75万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1208500&HistoricalAwards=false
• 关键词: NRI; Small; Spacial; Primitives; Enabling

To enable natural and productive human-robot interaction (HRI), a co-robot must both understand and control "proxemics" -- the social use of space -- in order to communicate in ways commonly used and understood by humans. This project focuses on answering the question: How do social (speech and gesture), environmental (loud noises and low lighting), and personal (hearing and visual impairments) factors influence positioning and communication between humans and co-robots, and how should a co-robot adjust its social behaviors to maximize human perception of its social signals?The project will develop principled computational models for the recognition and control of proxemic co-robot behavior in HRI using both telepresence and autonomous co-robots. The research will establish a foundational component of HRI for co-robotics, with specific impact on special needs users in socially assistive contexts -- particularly the elderly, both aging in place and in institutions -- with the goal of mitigating isolation and depression, and encouraging exercise and socialization. Broader impacts: The work will inform robot design and control, and provide software and a corpus of public HRI data for use by researchers worldwide. Beyond robotics, the project promises to inform, validate, and extend longstanding research in the social sciences. This project also includes a strong public and K-12 outreach component consisting of weaving the HRI themes being developed into annual regional and international outreach events. The events feature large-scale open houses and educational workshops with interactive demonstrations and hands-on activities that highlight human factors in computational systems as an effective means of increasing interest in STEM-related activities.

为了实现自然和富有成效的人机交互（HRI），合作机器人必须理解和控制“空间”-空间的社会使用-以便以人类常用和理解的方式进行通信。该项目的重点是回答这个问题：社会（语音和手势），环境（噪音和低照明）和个人（听力和视觉障碍）因素如何影响人类和合作机器人之间的定位和沟通，以及合作机器人应该如何调整其社会行为，以最大限度地提高人类对其社会信号的感知？该项目将开发原则性的计算模型，用于识别和控制HRI中使用远程呈现和自主合作机器人的虚拟合作机器人行为。该研究将为合作机器人建立HRI的基本组成部分，对社会辅助环境中的特殊需求用户产生具体影响-特别是老年人，无论是在原地还是在机构中-目标是减轻孤立和抑郁，并鼓励锻炼和社交。更广泛的影响：这项工作将为机器人设计和控制提供信息，并提供软件和公共HRI数据库，供全球研究人员使用。除了机器人技术，该项目还承诺为社会科学的长期研究提供信息、验证和扩展。该项目还包括一个强有力的公众和K-12外联部分，包括将正在制定的HRI主题纳入年度区域和国际外联活动。这些活动包括大型开放日和教育研讨会，其中包括互动演示和实践活动，强调计算系统中的人为因素是提高人们对STEM相关活动兴趣的有效手段。