Speech for Robotics

该奖项支持在马里兰大学举行的为期1.5天的研讨会，该研讨会汇集了来自学术界和工业界的工程师和科学家，他们在语音处理，自然语言处理和机器人技术方面具有专业知识，重点关注语音科学在开发未来可与任何人口统计学和任何环境下的人类进行有效沟通的嵌入式机器人技术中应发挥的关键作用。研讨会的结果将是一份包含良好动机的跨学科研究机会的报告，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一起工作。研讨会的第一天将包括几个平行的分组讨论，讨论各种主题，包括社交机器人的应用、我们可以从会话代理中学到什么教训、改善机器人的口语交流、研究人员之间的资源和任务共享、学生的培训以及学术界和工业界研究人员之间的合作。第二天，所有与会者将讨论分组会议的成果，并记录未来5至10年推动该领域向前发展的机会。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.