INT2-Large: Collaborative Research: Developing Social Robots

INT2-Large：协作研究：开发社交机器人

• 批准号: 0808653
• 负责人: Daniel Messinger
• 金额: $ 35万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0808653&HistoricalAwards=false
• 关键词: INT2; Large; Collaborative; Research; Developing

Last Modified Date: 08/04/08 Last Modified By: C.S. George Lee Abstract The goal of this project is to make progress on computational problems that elude the most sophisticated computers and Artificial Intelligence approaches but that infants solve seamlessly during their first year of life. To this end we will develop a robot whose sensors and actuators approximate the levels of complexity of human infants. The goal is for this robot to learn and develop autonomously a key set of sensory-motor and communicative skills typical of 1-year-old infants. The project will be grounded in developmental research with human infants, using motion capture and computer vision technology to characterize the statistics of early physical and social interaction. An important goal of this project is to foster the conceptual shifts needed to rigorously think, explore, and formalize intelligent architectures that learn and develop autonomously by interaction with the physical and social worlds. The project may also open new avenues to the computational study of infant development and potentially offer new clues for the understanding of developmental disorders such as autism and Williams syndrome.

最后修改日期：08/04/08最后修改人：C.S.乔治·李 这个项目的目标是在计算问题上取得进展，这些问题避开了最复杂的计算机和人工智能方法，但婴儿在他们生命的第一年无缝解决。为此，我们将开发一种机器人，其传感器和执行器的复杂程度接近人类婴儿。我们的目标是让这个机器人自主学习和发展一套关键的1岁婴儿典型的感觉运动和沟通技能。该项目将以人类婴儿的发育研究为基础，使用动作捕捉和计算机视觉技术来表征早期身体和社会互动的统计数据。该项目的一个重要目标是促进概念转变，以严格思考，探索和形式化智能架构，通过与物理和社会世界的互动自主学习和发展。该项目还可能为婴儿发育的计算研究开辟新的途径，并可能为理解自闭症和威廉姆斯综合征等发育障碍提供新的线索。