Miaorong Zhang

Papers

Total Citations

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About

Miaorong Zhang is a researcher focused on intelligent manufacturing and industrial robotics, with particular expertise in palletizing robot systems and their control architectures. Her most-cited work, "Designing Control System of Palletizing Robot Based on RobotStudio" (2022), demonstrates her contribution to bridging simulation and real-world automation. In this study, she systematically designed the layout and control process for palletizing systems within smart manufacturing environments, leveraging RobotStudio’s Smart Component functionality to create I/O control logic and conveyor integration. This work provides a practical framework for engineers seeking to optimize robotic material handling through virtual commissioning, reducing deployment risks and costs. While her citation count is currently modest, her research addresses a critical bottleneck in Industry 4.0—the seamless translation of digital designs into physical automation. Zhang’s approach emphasizes modular, simulation-driven control design, which is increasingly vital for flexible manufacturing. Her work is particularly relevant for students and practitioners interested in robotic system integration, offline programming, and the use of digital twins in production line automation. As smart factories evolve, Zhang’s contributions to palletizing robot control offer foundational insights for scalable, efficient industrial robotics.