CI-NEW: Collaborative Research: A Modular Platform for Enabling Computing Research in Intelligent Human-Robot Interaction

CI-NEW：协作研究：支持智能人机交互计算研究的模块化平台

• 批准号: 1513275
• 负责人: Maja Matarić
• 金额: $ 32.43万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1513275&HistoricalAwards=false
• 关键词: CI; NEW; Collaborative; Research; Modular

This project is to design, develop, and freely distribute novel, affordable, modular hardware and accompanying software platforms for enabling non-contact human-robot interaction (HRI) research. Such research is a significant portion of HRI today, and encompasses a broad spectrum of computing challenges and compelling application domains, including education, training, rehabilitation, and health. The goal of this project is to significantly increase access to hardware to a large body of researchers, so that computing advances can be applied to physical systems and evaluated in real-world environments, in order to drive progress in the computing community.Advances in sensor and communication technologies have facilitated progress in computing research on physical platforms. The field of human-robot interaction in particular has grown significantly and actively brings together an interdisciplinary community of researchers across computing, robotics, and social science. However, progress has been limited by the lack of affordable, general-purpose, modular hardware platforms with available low-level software that would enable large numbers of computing researchers to enter the field and develop and test algorithms, as well as conduct statistically significant user studies by deploying systems in the real world and collecting user data to inform further computational research in HRI.

该项目旨在设计，开发和免费分发新颖，负担得起的模块化硬件和配套软件平台，以实现非接触式人机交互（HRI）研究。此类研究是当今HRI的重要组成部分，涵盖了广泛的计算挑战和引人注目的应用领域，包括教育，培训，康复和健康。该项目的目标是为大量研究人员提供更多的硬件，使计算技术的进步能够应用于物理系统并在现实环境中进行评估，从而推动计算界的进步。传感器和通信技术的进步促进了物理平台上计算研究的进步。特别是人机交互领域已经显著增长，并积极汇集了跨计算，机器人和社会科学的跨学科研究人员社区。然而，由于缺乏负担得起的，通用的，模块化的硬件平台，可用的低级软件，使大量的计算研究人员进入该领域，开发和测试算法，以及通过在真实的世界中部署系统和收集用户数据，以通知HRI进一步的计算研究，进行统计上显着的用户研究，进展受到限制。