Papers
2
Total Citations
25
H-Index
2
About
Yaxu Niu’s research lies at the intersection of operations management, human-robot collaboration, and behavioral ergonomics, with a focus on making automated warehousing systems more human-centric. Her major contributions address a critical gap in robotic mobile fulfillment systems: while these systems optimize efficiency, they often neglect the physical and cognitive strain on human workers. Niu pioneers methods that enable robots to learn and adapt to human discomfort in real time, proposing algorithms that dynamically adjust task allocation to reduce fatigue and injury risk. Her most cited work, “Human Aspects in Collaborative Order Picking – Letting Robotic Agents Learn About Human Discomfort” (2021, 17 citations), introduces a multi-agent framework where robots proactively modify their behavior to give workers “breaks,” balancing productivity with well-being. A follow-up study (8 citations) extends this by modeling how such adaptive systems can improve long-term workforce sustainability. Niu’s research is notable for bridging technical optimization with social sustainability, offering actionable insights for industry. Her work has been recognized for its potential to reshape warehouse labor practices, earning her a reputation as a leading voice in human-aware automation.
Research Focus
Key Achievements
Top Papers
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