Development of a Complex Manufacturing Floor Material Handling System Using Guide-Path Independent Autonomous Vehicles

使用独立于导轨的自动驾驶车辆开发复杂的制造车间物料搬运系统

• 批准号: 9102048
• 负责人: Ren Luo
• 金额: $ 18万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-08-01 至 1995-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9102048&HistoricalAwards=false
• 关键词: Development; Complex; Manufacturing; Floor; Material

The objective of this research is to study high level global path planning and dispatching of multiple vehicles using statistical models and graph representation techniques and a low level multi-sensor based local path planning and navigation system. These efforts will support the development of a complex manufacturing floor material handling system using guide path independent autonomous vehicles. Particular efforts to be emphasized in this project include development of a geometric representation of the factory floor and a graph representation of the paths in a factory; development of vehicle dispatching techniques and a collision avoidance strategy; and the development of an onboard Hierarchical Mutiprocessor Computer System to support real time operation of an intelligent mobile robot. The design and implementation of an experimental system to test the proposed approaches will also be pursued.

本研究的目的是使用统计模型和图形表示技术以及基于低级多传感器的本地路径规划和导航系统来研究多车辆的高级全局路径规划和调度。 这些努力将支持使用独立于导轨的自动驾驶车辆开发复杂的制造车间物料搬运系统。 该项目特别强调的工作包括开发工厂车间的几何表示和工厂路径的图形表示；开发车辆调度技术和避免碰撞策略； 开发机载分层多处理器计算机系统以支持智能移动机器人的实时操作。还将设计和实施一个实验系统来测试所提出的方法。