Controle de Robô Colaborativo por Voz

C. Patrocinio, Cassius Zanetti Resende, Flávio Garcia Pereira
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Abstract

Despite technological advances in the field of industrial manipulators with the advent of the use of collaborative robots (Cobots) on the factory floor living with human collaborators, it is observed that the way of programming the cobot remains the same as that of conventional manipulators, there has been no evolution . Among the features that can allow a cobot to be programmed in an intuitive way, verbal communication (voice) motivates this work. Among the methods currently used for the development of a voice recognition system, the ones that have stood out lately are those that use deep learning methods. In this context, this work proposed to develop a control of a cobot using a verbal communication resource (voice). The development consisted of building a system capable of receiving an audio file as input, recognizing the command contained in it and sending it to the programming cobot. During the experimental tests it was possible to observe that the system worked as expected, that is, it was able to recognize the commands correctly and program the cobot to perform the corresponding action.
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尽管随着协作机器人(Cobots)在工厂车间与人类合作者一起生活的出现,工业机械手领域的技术取得了进步,但可以观察到,协作机器人的编程方式仍然与传统机械手的编程方式相同,没有进化。在允许协作机器人以直观的方式编程的功能中,口头交流(语音)激发了这项工作。在目前用于开发语音识别系统的方法中,最近脱颖而出的是那些使用深度学习方法的方法。在此背景下,本研究提出了一种利用语言交流资源(语音)来控制协作机器人的方法。开发包括建立一个能够接收音频文件作为输入的系统,识别其中包含的命令并将其发送给编程机器人。在实验测试期间,可以观察到系统按预期工作,也就是说,它能够正确识别命令并编程cobot执行相应的动作。
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