2020 International Conference on Power Electronics &Amp; IoT Applications in Renewable Energy and Its Control (PARC) 2020
DOI: 10.1109/parc49193.2020.236673
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Design and Analysis of IoT-Based Intelligent Robot for Real-Time Monitoring and Control

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Cited by 20 publications
(2 citation statements)
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“…Troughout the application feld of IoT, positioning technology is widely used in logistics and transportation, manufacturing, transportation, mining, and healthcare. Many information collected through IoT sensing system will be difcult to play its proper value without the corresponding location information identifcation [9]. Terefore, how to use positioning technology to obtain location information more accurately and comprehensively has become an important research topic in the era of IoT.…”
Section: Introductionmentioning
confidence: 99%
“…Troughout the application feld of IoT, positioning technology is widely used in logistics and transportation, manufacturing, transportation, mining, and healthcare. Many information collected through IoT sensing system will be difcult to play its proper value without the corresponding location information identifcation [9]. Terefore, how to use positioning technology to obtain location information more accurately and comprehensively has become an important research topic in the era of IoT.…”
Section: Introductionmentioning
confidence: 99%
“…It explains the designing and manufacturing a flexible punching system that collaborates the industry robots and unique plier in an experimental study on a versatile punching system employing industrial robots [2]. An experiment was undertaken to assist in the design and execution of a mobile robot for avoidance and obstacle detection in real-time, with the outcome being an extremely productive and cost-effective robot that substitutes human work, reduces human effort, and successfully executes checking tasks [3]. A physically smart manufacturing simulation is being used to establish a framework for video based production process monitoring, demonstrating that accuracies of detection of over 90% for personalised objects and also failed positions of the objects can be achieved in the context of industrial research [4].…”
Section: Introductionmentioning
confidence: 99%