Speech for Robotics

机器人演讲

• 批准号: 1941541
• 负责人: Carol Espy-Wilson
• 金额: $ 5万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1941541&HistoricalAwards=false
• 关键词: Speech; Robotics

This award supports a 1.5-day workshop at the University of Maryland that brings together engineers and scientists from academia and industry with expertise in speech processing, natural language processing and robotics to focus on the critical role that speech science should play in developing future embodied robotic technologies that can communicate effectively with humans of any demographics and in any environment. The result of the workshop will be a report containing well-motivated interdisciplinary research opportunities to promote the development of social robot applications that are beneficial to society. Solving the problem of spoken language processing for human to robot interaction will help in allowing a broad application of social robots including working with and alongside people in homes, schools, hospitals and workplaces.The first day of the workshop will include several parallel breakout groups that look at a variety of topics including the applications for social robots, what lessons we can learn from conversational agents, improving the spoken language communication of robots, shared resources and tasks across researchers, training of students, and collaboration between researchers in academia and those in industry. The second day will include all participants in a discussion of the results from the breakout sessions and the documentation of opportunities to move the field forward during the next 5 to 10 years.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项支持在马里兰大学举办的为期 1.5 天的研讨会，该研讨会汇集了来自学术界和工业界的具有语音处理、自然语言处理和机器人技术专业知识的工程师和科学家，重点关注语音科学在开发未来实体机器人方面应发挥的关键作用可以在任何环境中与任何人口统计数据的人进行有效沟通的技术。研讨会的结果将是一份报告，其中包含积极主动的跨学科研究机会，以促进有益于社会的社交机器人应用的发展。 解决人机交互的口语处理问题将有助于社交机器人的广泛应用，包括在家庭、学校、医院和工作场所与人们一起工作。研讨会的第一天将包括几个平行的分组讨论，研究各种主题，包括社交机器人的应用、我们可以从对话代理中学到什么教训、改善机器人的口语交流、研究人员之间共享资源和任务、学生培训以及学术界和工业界研究人员之间的合作行业。 第二天，所有参与者将讨论分组会议的结果，并记录未来 5 到 10 年内推动该领域发展的机会。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。