Xiaokang Chen

Papers

Total Citations

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About

Xiaokang Chen is a researcher specializing in intelligent manufacturing systems, robotics control, and industrial automation. His work focuses on optimizing robotic operations within smart factory environments, particularly through simulation and virtual commissioning. His most cited paper, "Designing Control System of Palletizing Robot Based on RobotStudio" (2022), presents a systematic approach to designing palletizing robot control systems using RobotStudio's Smart Component technology. In this work, Chen develops an integrated control framework that combines I/O signal logic with conveyor system coordination, enabling efficient and flexible palletizing operations. His contributions advance the practical implementation of industrial robots in manufacturing, bridging simulation and real-world control. With 2 citations, this paper has provided foundational insights for researchers and engineers working on robotic palletizing systems. Chen's research is particularly valuable for students and professionals seeking to understand how virtual commissioning and smart component design can streamline automation workflows. His work underscores the growing importance of simulation-based control system development in modern intelligent manufacturing.