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  • 2018

  • Wan, J.; Tang, S.; Hua, Q.; Li, D.; Liu, C.; Lloret, J. (2018): Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things. In: IEEE Internet of Things Journal 5 (4), S. 2272-2281. DOI: 10.1109/JIOT.2017.2728722

    DOI: https://doi.org/10.1109/JIOT.2017.2728722 

    Abstract: In the context of Industry 4.0, industrial roboticssuch as automated guided vehicles have drawn increased atten-tion due to their automation capabilities and low cost. Withthe support of cognitive technologies for industrial Internet ofThings (IoT), production processes can be significantly opti-mized and more intelligent manufacturing can be implementedfor smart factories. In this paper, for advanced material han-dling, a cognitive industrial entity called context-aware cloudrobotics (CACR) are introduced and analyzed. Compared withthe one-time on-demand delivery, CACR is characterized by twofeatures: 1) context-aware services and 2) effective load bal-ancing. First, the system architecture, advantages, challenges,and applications for CACR are introduced. Then, fundamentalfunctions for material handling are articulated, namely, decision-making mechanisms and cloud-enabled simultaneous localizationand mapping. Finally, a CACR case study is performed tohighlight its energy-efficient and cost-saving material handlingcapabilities. Simulations indicate the superiority of cognitiveindustrial IoT and show that using CACR for material handlingcan significantly improve energy efficiency and save cost.

    Keywords: Handling & Technology, ieee xplore
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