Liwei Qing
Papers
3
Total Citations
43
H-Index
3
About
Liwei Qing is a rising scholar in the rapidly evolving field of human-robot collaboration (HRC), with a focused emphasis on worker well-being and ergonomics. Her research critically examines the intersection of robotic design and human factors, exploring how collaborative robots impact both the physical and mental health of their human counterparts. A key contribution is her work on using a Conditional Variational Auto-encoder model to predict and mitigate musculoskeletal disorder (MSD) risks during collaborative tasks, offering a data-driven path toward safer industrial workplaces. Her most cited paper, "Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks" (33 citations), directly addresses the psychological toll of automation, a crucial and often overlooked aspect of Industry 5.0. Further expanding this human-centric focus, her recent work investigates how a robot’s anthropomorphic features—such as appearance and voice—affect user perception and emotional response. By bridging robotics engineering with occupational health psychology, Qing is defining a new standard for designing collaborative systems that are not only efficient but also safe and supportive for the human worker.
Research Focus
Key Achievements
Top Papers
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