Zhiliang Cheng

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About

Zhiliang Cheng is a researcher at the forefront of intelligent manufacturing and robotic automation, with a particular focus on assembly sequence planning. His work addresses a critical bottleneck in modern production: how to optimize the order of operations in robotic assembly to maximize efficiency. Cheng’s most cited contribution, a 2022 study integrating Unity 3D simulation with genetic algorithms, represents a significant methodological advance. By moving beyond hypothetical or random datasets, he pioneered a simulation-driven approach that generates realistic, actionable assembly sequences, bridging the gap between digital twins and physical robotic systems. This work has garnered 7 citations, establishing a foundation for data-driven optimization in manufacturing. Cheng’s research is notable for its practical orientation, directly targeting the challenges of Industry 4.0 by combining simulation, artificial intelligence, and robotics. For students and researchers in industrial engineering and robotics, his contributions offer a compelling model of how computational intelligence can be harnessed to solve real-world production problems, making him a key voice in the evolution of smart manufacturing.