C. Patrocinio, Cassius Zanetti Resende, Flávio Garcia Pereira
{"title":"Controle de Robô Colaborativo por Voz","authors":"C. Patrocinio, Cassius Zanetti Resende, Flávio Garcia Pereira","doi":"10.1109/INDUSCON51756.2021.9529471","DOIUrl":null,"url":null,"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.","PeriodicalId":344476,"journal":{"name":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON51756.2021.9529471","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.