Information-Based Task-Level Planning

基于信息的任务级规划

• 批准号: 9010686
• 负责人: Michael Erdmann
• 金额: $ 8.08万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-07-01 至 1993-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9010686&HistoricalAwards=false
• 关键词: Information; Based; Task; Level; Planning

This Research Initiation Award is for theoretical and experimental work in robotic parts assembly. The theoretical research will identify information invariants for simple manipulation tasks: inherent assembly-time tradeoffs between sensing, action, and prediction. Dr. Erdmann will then test his theory on a robotic parts-orienting system, with sensing and manipulatory tasks decomposed along information-invariant boundaries. This research could lead to improved manufacturing design as well as reliable and efficient parts assembly.

这个研究启动奖是理论和 机器人零件装配的实验工作。 理论 研究将确定简单的信息不变量 操作任务：固有的装配时间权衡 感知、行动和预测。 埃德曼博士将测试他的 理论上的机器人零件定向系统，与传感和 操作任务沿着信息不变分解 边界 这项研究可能会改善制造业 设计以及可靠和高效的部件装配。