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: 1513108
• 负责人: Mark Yim
• 金额: $ 67.5万
• 依托单位: University of Pennsylvania
• 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 2021-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1513108&HistoricalAwards=false
• 关键词: CI; NEW; Collaborative; Research; Modular; 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，开发和自由分发新颖，负担得起的模块化硬件以及随附的软件平台，以实现非接触式人像互动（HRI）研究。这样的研究是当今HRI的重要部分，其中包括广泛的计算挑战和引人入胜的应用领域，包括教育，培训，康复和健康。该项目的目的是显着将硬件的访问访问到大量研究人员中，以便可以将计算进步应用于物理系统并在现实世界中进行评估，以推动计算社区的进度。传感器和通信技术的预测促进了在平台上计算研究方面的进度。尤其是人类机器人互动的领域已经显着发展，并积极地汇集了跨计算，机器人和社会科学的研究人员的跨学科社区。但是，由于缺乏可用的低水平软件的负担得起的通用，模块化硬件平台的限制，这将使大量的计算机研究人员进入现场，开发和测试算法，并通过在现实世界中部署系统并收集用户数据来为HRI提供进一步的计算研究，从而进行统计上重要的用户研究。