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dc.contributor.authorMaru, Vatsal K.
dc.contributor.authorNannapaneni, Saideep
dc.contributor.authorKrishnan, Krishna K.
dc.identifier.citationV. Maru, S. Nannapaneni and K. Krishnan, "Internet of Things based Cyber-Physical System framework for Real-Time Operations," 2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC), Nashville, TN, USA, 2020, pp. 146-147en_US
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe paper presents an intelligent cyber-physical system (CPS) framework using object detection for real-Time operations in an Internet-of-Things (IoT) connected physical environment. To facilitate real-Time object detection, we used a variant of Convolutional Neural Network (CNN) known as Faster R-CNN (R stands for the region proposals). The control action related to the detected object is exchanged with the actuation system using Real-Time Data Exchange (RTDE) protocol. We demonstrate the proposed framework to perform pick-And-place operations as it is a widely performed operation on a production floor using a Universal Robot (UR5) as an actuation system.en_US
dc.relation.ispartofseries23rd International Symposium on Real-Time Distributed Computing;2020 IEEE
dc.subjectConvolutional neural networken_US
dc.subjectObject detectionen_US
dc.subjectReal-time controlen_US
dc.subjectUniversal roboten_US
dc.titleInternet of things based cyber-physical system framework for real-time operationsen_US
dc.typeConference paperen_US
dc.rights.holder© 2020 IEEEen_US

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  • ISME Research Publications
    Research works published by faculty and students of the Department of Industrial, Systems, and Manufacturing Engineering

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