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Time normalization and analysis method in robot programming from human demonstration data

机译:基于人类演示数据的机器人编程中的时间归一化与分析方法

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Methods have been proposed to generate robot motions from human demonstrations. Humans demonstrate tasks without indicating what they want to teach. In future, the robot programming methods from human demonstrations will notice the intention of the human's actions and generate or modify the program from demonstrations. This paper describes two elements which are necessary in analyzing human demonstrations. The first is a time normalization method of demonstration data which humans show at different speeds. The second is a method to detect various changes in data without prior knowledge of how many or what kind of changes will occur. The scheme of robot programming from demonstrations is presented and the wavelet analysis result of time normalized demonstration data are discussed.
机译:已经提出了从人类演示中产生机器人运动的方法。人类在演示任务时并未指出他们想教什么。将来,来自人类演示的机器人编程方法将注意到人类行为的意图,并根据人类演示生成或修改程序。本文描述了分析人类示威过程中必不可少的两个要素。第一种是人类以不同速度显示的演示数据的时间归一化方法。第二种方法是在无需事先知道将发生多少或哪种类型的更改的情况下检测数据的各种更改的方法。提出了基于演示的机器人编程方案,并讨论了时间归一化演示数据的小波分析结果。

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