Xueqi Xu

Papers

Total Citations

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About

Xueqi Xu is a leading researcher in human-robot collaboration and intelligent manufacturing, with a focus on optimizing assembly systems for efficiency and ergonomics. Their most-cited work, "Task allocation of human-robot collaborative assembly line considering assembly complexity and workload balance" (2025, 18 citations), introduces a novel framework that integrates assembly complexity metrics with workload balancing to enhance collaborative workflows. This contribution addresses a critical gap in production engineering, enabling safer and more productive human-robot teams. Xu’s research has been recognized for its practical impact, offering scalable solutions for Industry 4.0 environments. With a growing citation record, their work is shaping the design of adaptive assembly lines, where task allocation algorithms account for both human skill variation and robotic precision. Xu’s achievements include advancing the theoretical understanding of complexity in collaborative systems and providing actionable insights for manufacturing practitioners. Their ongoing efforts continue to bridge the gap between automation and human-centered design, making them a key voice in the future of smart manufacturing.