Leticia González, J. C. Álvarez, Antonio M. López, D. Álvarez
{"title":"人机协作单元光学动作捕捉系统性能评价","authors":"Leticia González, J. C. Álvarez, Antonio M. López, D. Álvarez","doi":"10.1109/MFI49285.2020.9235242","DOIUrl":null,"url":null,"abstract":"This article describes a new methodology for the metrological evaluation of a human-robot collaborative environment based on optical motion capture (OMC) systems. By taking advantage of the existing industrial robot in the production cell, the workspace calibration procedure can be automatized, reducing the need of human intervention. The method is inspired on the ASTM E3064 test guide, and the results presented show that the metrological characteristics so obtained are compatible and comparable in quality to the ones with the manual procedure.","PeriodicalId":446154,"journal":{"name":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of optical motion capture system performance in humanrobot collaborative cells\",\"authors\":\"Leticia González, J. C. Álvarez, Antonio M. López, D. Álvarez\",\"doi\":\"10.1109/MFI49285.2020.9235242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article describes a new methodology for the metrological evaluation of a human-robot collaborative environment based on optical motion capture (OMC) systems. By taking advantage of the existing industrial robot in the production cell, the workspace calibration procedure can be automatized, reducing the need of human intervention. The method is inspired on the ASTM E3064 test guide, and the results presented show that the metrological characteristics so obtained are compatible and comparable in quality to the ones with the manual procedure.\",\"PeriodicalId\":446154,\"journal\":{\"name\":\"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI49285.2020.9235242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI49285.2020.9235242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of optical motion capture system performance in humanrobot collaborative cells
This article describes a new methodology for the metrological evaluation of a human-robot collaborative environment based on optical motion capture (OMC) systems. By taking advantage of the existing industrial robot in the production cell, the workspace calibration procedure can be automatized, reducing the need of human intervention. The method is inspired on the ASTM E3064 test guide, and the results presented show that the metrological characteristics so obtained are compatible and comparable in quality to the ones with the manual procedure.