CAREER: Observing to Plan - Planning to Observe

职业生涯：观察到计划 - 计划到观察

• 批准号: 0546709
• 负责人: Ronald Parr
• 金额: $ 44万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0546709&HistoricalAwards=false
• 关键词: CAREER; Observing; Plan; Planning; Observe; CAREER; Observing; Plan; Planning; Observe

Abstract for Proposal # 0546709This proposal aims to perform fundamental research on planning, perception and probabilistic reasoning in the context of a deceptively simple challenge task: A robot is given a crude description of a relatively easily recognizable object to find, and sent into a new environment to find this object. The robot is expected to return with a map showing the location of the object. The following can be said about this task: 1) It is a prerequisite or enabling technology for many other tasks of economic and practical importance; 2) It ought to be possible given existing hardware and computing power; 3) It is not adequately addressed by existing techniques; and 4) It reveals fundamental shortcomings in our understanding of core AI problems. This proposal aims to address these challenges directly with novel approaches to acquiring, representing, and planning with sense data.

提案＃0546709的摘要旨在在欺骗性的简单挑战任务的背景下对计划，感知和概率推理进行基础研究：对机器人进行了对相对较容易识别的对象的粗略描述，并发送到新的环境中以找到这个对象。 预计该机器人将返回地图，显示对象的位置。有关此任务的可以说的以下内容：1）它是许多其他经济和实际重要任务的先决条件或启用技术； 2）鉴于现有的硬件和计算能力，应该有可能； 3）现有技术无法充分解决； 4）它揭示了我们对核心AI问题的理解中的根本缺点。 该提案旨在通过新颖的方法通过了解，代表和计划的新方法来直接解决这些挑战。