Papers
1
Total Citations
15
H-Index
1
About
Dr. Na Qin is a leading researcher in the field of human–robot collaboration, with a primary focus on developing intelligent control systems that enable robots to work proactively and adaptively alongside human partners. Her most cited work, "Iterative learning of human partner’s desired trajectory for proactive human–robot collaboration" (2020, 15 citations), introduces a novel period-varying iterative learning control scheme that allows a robotic manipulator to infer and learn a target trajectory planned by a human—even when that trajectory is initially unknown to the robot. This contribution addresses a critical challenge in collaborative robotics: enabling machines to anticipate human intent rather than simply react. Dr. Qin’s research bridges control theory and human–robot interaction, with implications for manufacturing, assistive robotics, and autonomous systems. Her work is recognized for advancing the paradigm of proactive collaboration, where robots become more intuitive and responsive partners. With a growing citation impact, Dr. Qin continues to shape how robots learn from and adapt to human behavior, making her a notable figure in the field of intelligent robotics and human–machine systems.
Research Focus
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Top Papers
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