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Guest Editorial: 19th IEEE International Conference on Automation Science and Engineering
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ATD-GCN: A human activity recognition approach for human-robot collaboration based on adaptive skeleton tree-decomposition
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Automation in manufacturing and assembly of industrialised construction
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Digital twin and parameter correlation-enabled variant design of production lines
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Digital twin technology in modern machining: A comprehensive review of research on machining errors
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Digital Twin-driven multi-scale characterization of machining quality: current status, challenges, and future perspectives
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Industrial Intelligence: Methods and Applications
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Knowledge graph-enhanced multi-agent reinforcement learning for adaptive scheduling in smart manufacturing
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Rapid digital twin modeling method and system for equipment
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Real-time response to machine failures in self-organizing production execution using multi-agent reinforcement learning with effective samples
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