Yanlin Li

Papers

Total Citations

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About

Yanlin Li is a researcher focused on advancing intelligent manufacturing and robotics, with a particular emphasis on palletizing robot systems and their integration into automated production lines. Their most-cited work, "Designing Control System of Palletizing Robot Based on RobotStudio" (2022), demonstrates a practical contribution to industrial automation by detailing the layout, control logic, and signal design for palletizing robots using RobotStudio’s Smart Components and I/O systems. This work supports the efficient deployment of robots in smart factories, bridging simulation and real-world control. While their citation count is currently modest, Li’s research addresses a critical niche in manufacturing—optimizing robotic workflows for material handling and logistics. Their achievements include developing system-level control strategies that enhance productivity and reliability in palletizing tasks, a key component of modern supply chains. For students and researchers in robotics and automation, Li’s work offers a clear, applied example of how simulation tools can streamline the design and implementation of industrial robotic systems, making it a valuable reference for those entering the field of intelligent manufacturing.