Qian Qin
Papers
1
Total Citations
3
H-Index
1
About
Qian Qin is a researcher whose work lies at the intersection of haptic feedback, robotics, and human–machine interaction, with a particular focus on enhancing the quality of experience (QoE) in teleoperation systems. Her most-cited paper, "QoE Assessment of Object Softness in Remote Robot System with Haptics -- Comparison of Stabilization Control" (2018), explores how stabilization control algorithms influence a user’s perception of object softness during remote manipulation—a critical factor for applications in telesurgery, hazardous material handling, and virtual training. By systematically comparing control strategies, Qin’s work provides foundational insights into how haptic rendering can be optimized to improve realism and task performance. Though her citation count is modest, her contributions are notable for bridging subjective user experience with objective control theory, a challenging interdisciplinary endeavor. Qin’s research is particularly valuable for engineers designing more intuitive and effective haptic interfaces, and it underscores the importance of human-centered design in robotics. Her focus on softness perception—a nuanced and often overlooked aspect of haptics—positions her as a thoughtful contributor to the future of immersive teleoperation.
Research Focus
Key Achievements
Top Papers
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