Automating Robotic Assembly Workplace Planning

自动化机器人装配工作场所规划

• 批准号: 8817840
• 负责人: Richard Francis
• 金额: $ 6万
• 依托单位: University of Florida
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1989
• 资助国家: 美国
• 起止时间: 1989-04-15 至 1991-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8817840&HistoricalAwards=false
• 关键词: Automating; Robotic; Assembly; Workplace; Planning

This research is to develop algorithms and software to help implement the automation of robotic assembly workplace planning. In electronic manufacturing, many kinds of printed circuit boards have parts to be inserted by a robot, and the insertions can be made in any sequence. Likewise, one is free to choose locations of bins or feeders to contain the parts. The choice of the assembly sequence and the location of the bins can greatly affect the total assemble time, and thus manufacturing productivity. The investigators will develop algorithms to determine a best assembly sequence, as well as best bin locations, using ideas in combinatorics and location theory. Results obtained thus far has reduced the dimension of the problem by 50% over the best available previous approach. These algorithms will be implemented with user-friendly software, operable on a personal computer, which will also function in an evaluation mode; the user can employ a pointing device in conjunction with computer graphics to specify an assembly sequence and location of bins. The investigators will examine related problems when set-up times are dominant, and problems involving the distribution of parts to bins. Expected results should be applicable in other manufacturing contexts involving robots.

这项研究旨在开发算法和软件，以帮助实现机器人装配工作场所规划的自动化。在电子制造中，许多类型的印刷电路板都有由机器人插入的部件，并且插入可以按任何顺序进行。同样，人们可以自由选择垃圾箱或送料器的位置来容纳部件。装配顺序的选择和料箱的位置会极大地影响总的装配时间，从而影响生产效率。研究人员将利用组合学和选址理论的思想，开发算法来确定最佳组装顺序和最佳垃圾箱位置。到目前为止所获得的结果使问题的规模比以前最好的方法减少了50%。这些算法将使用可在个人计算机上操作的用户友好的软件来实现，该软件也将在评估模式下运行；用户可以使用定点设备结合计算机图形来指定垃圾箱的组装顺序和位置。调查人员将检查安装时间占主导地位时的相关问题，以及涉及将部件分配到垃圾箱的问题。预期结果应适用于其他涉及机器人的制造环境。