CRI: IAD - Computing Research Infrastructure for Human-Robot Interaction and Socially Assistive Robotics

提案编号：CNS 07-09296 PI： 放大图片作者：J. 院校：南加州大学 洛杉矶，CA 90089-1147 职务名称：IAD：Computing Research Infrastructure for Human-Robot Interaction and Socially Assistive Robotics（IAD：人机交互和社会辅助机器人的计算研究基础设施）该项目旨在获取社会辅助机器人（SAR）的基础设施，从而实现涵盖广泛的人机交互（HRI）主题的跨学科综合研究。SAR研究了一系列独特的问题，这些问题与利用机器人化身在各种康复、康复、教育和培训环境中为用户提供社会帮助有关。该基础设施包括丰富的交互式人形机器人平台和最先进的数据收集设备。这项工作使SAR的增长，通过要求与人类受试者/用户进行现实验证，为HRI研究的一个主要领域提供基础，这些研究包括体现，影响/态度建模和识别，混合主动交互，用户建模，建模个性和同理心，以及通过模仿进行参与和学习。该设施预计将产生一个大型的数据库，将提供给社区。更广泛的影响：社会接受的机器人研究的目的是提高生活质量。这项研究能够获得NIH资助所需的试点数据，通过跨学科团队带来了新的专业知识，包括CS，EE，运动机能学，儿科和疾病专家的发展。此外，基础设施通过教育和K-12外联方案影响人力资源开发，这些方案惠及数百名学生。

Proposal #: CNS 07-09296 PI(s): Mataric, Maja J. Narayanan, Shrikanth S. Institution: University of Southern California Los Angeles, CA 90089-1147 Title: IAD:Computing Research Infrastructure for Human-Robot Interaction and Socially Assistive Robotics This project, acquiring infrastructure for socially assistive robotics (SAR), enables interdisciplinary integrative research covering a broad spectrum of human robot interaction (HRI) topics. SAR studies a unique series of problems related to utilizing robot embodiment to provide social assistance to users in a variety of convalescence, rehabilitation, education, and training settings. The infrastructure consists of richly interactive humanoid robot platforms and state-of-the-art data collection equipment. The work enables the growth of SAR, providing grounding for a major area of HRI research by requiring realistic validation with human subjects/users for studies that include embodiment, affect/attitude modeling and recognition, mixed initiative interactions, user modeling, modeling personality and empathy, and engagement and learning through imitation. The facility is expected to produce a large corpus of data that will be made available to the community.Broader Impact: Socially accepted robotics research aims to improve quality of life. Enabling the acquisition of pilot data necessary for NIH funding, this research brings new expertise through an interdisciplinary team that includes CS, EE, kinesiology, pediatrics, and development of disorder experts. Furthermore, the infrastructure impacts human resource development through educational and K-12 outreach programs that reach hundreds of students.