Error detection and recovery for automated manufacturing using dual arms

Kyu-Mann Lim, J. Cheong
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Abstract

Recently, many industrial settings carry out the justified task with robots that try to improve the productivity and quality of product. This paper describes to a method of `Error Detection' and `Error Recovery' using up-to-date sensors. Errors are defined and identified based on standardized types through the status of sen by the robots.
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双臂自动化制造的错误检测与恢复
最近,许多工业环境用机器人来执行合理的任务,试图提高生产率和产品质量。本文介绍了一种使用最新传感器的“错误检测”和“错误恢复”方法。通过机器人的状态来定义和识别基于标准化类型的错误。
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