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Robotic General Parts Feeder: Bin-picking, Regrasping, and Kitting

机译:机器人通用零件进料器:装箱,翻磨和安装工具

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摘要

The automatic parts feeding of multiple objects is an unsolved problem in the manufacturing industry. In this paper, we tackle the problem by proposing a multi-robot system. The system comprises three sub-components which perform bin-picking, regrasping, and kitting. The three subcomponents divide and conquer the automatic multiple parts feeding problem by considering a coarse-to-fine manipulation process. Multiple robot arms are connected in series as a pipeline. The robots are separated into three groups to perform the roles of each sub-component. The accuracy of the state and manipulation are getting higher along with the changes of the sub-components in the pipeline. In the experimental section, the performance of the system is evaluated by using the Mean Picks Per Hour (MPPH) metric and success rate, which are compared to traditional parts feeder and manual labor. The results show that the Mean Picks Per Hour (MPPH) of the proposed system is 351 with eleven various-shaped industrial parts, which is faster than the state-of-the-art robotic bin-picking system. The lead time of the proposed system for new parts is less than that of a traditional parts feeders and/or manual labor.
机译:多个对象的自动零件进给是制造业中尚未解决的问题。在本文中,我们通过提出一种多机器人系统来解决该问题。该系统包括三个子组件,它们执行装箱,重新抓取和安装工具。这三个子组件通过考虑从粗到精的操纵过程来划分和征服自动多零件进给问题。多个机械手臂作为管线串联连接。机械手分为三组,以执行每个子组件的角色。状态和操纵的准确性随着管道中子组件的变化而越来越高。在实验部分,通过使用每小时平均拾取次数(MPPH)度量标准和成功率来评估系统的性能,并将其与传统零件进给器和体力劳动进行比较。结果表明,所提出的系统的每小时平均拣货量(MPPH)为351,具有11个各种形状的工业零件,比最先进的机器人垃圾箱拣选系统要快。拟议的新零件系统的交货时间少于传统零件进料器和/或体力劳动的交货时间。

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