Ziwei Jia
Papers
2
Total Citations
11
H-Index
2
About
Ziwei Jia is a rising researcher at the forefront of human-robot collaboration (HRC), focusing on the critical intersection of automation, scheduling, and performance evaluation. Her work addresses the practical challenges of integrating robots into human-centered manufacturing environments, particularly under conditions of uncertainty. Jia’s most-cited paper, “Flexible task assignment and assembly scheduling for human-robot collaboration cell considering uncertainty” (2025), has already garnered 9 citations, highlighting its timely contribution to optimizing adaptive workflows. She also co-authored a pioneering study on applying Quality Function Deployment (QFD) to systematically select key performance indicators for HRC systems (2024), offering a structured framework to assess and improve collaborative implementations. This work tackles persistent barriers such as safety concerns, lack of standardization, and workforce resistance. By bridging theoretical models with real-world industrial needs, Jia is shaping how researchers and engineers design resilient, efficient, and human-friendly collaborative cells. Her growing citation record and focus on actionable solutions mark her as an emerging voice in smart manufacturing and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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