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

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.

摘要提案#0546709该提案旨在进行规划，感知和概率推理的基础研究，在一个看似简单的挑战任务的背景下：机器人被赋予一个相对容易识别的对象的粗略描述，并发送到一个新的环境中找到这个对象。 预计机器人将带着显示物体位置的地图返回。关于这项任务可以说：1）它是许多其他具有经济和实际重要性的任务的先决条件或使能技术; 2）鉴于现有的硬件和计算能力，它应该是可能的; 3）现有技术没有充分解决它; 4）它揭示了我们对核心人工智能问题的理解的根本缺陷。 该提案旨在通过新颖的方法直接解决这些挑战，以获取，表示和规划感官数据。