Limin Wen
Papers
1
Total Citations
5
H-Index
1
About
Limin Wen is a researcher whose work sits at the intersection of haptic feedback, teleoperation, and human-robot interaction, with a particular focus on how humans perceive and experience remote robotic systems. In their most-cited work, "QoE Assessment of Weight Perception in Remote Robot System with Force Feedback" (2019, 5 citations), Wen pioneered a novel approach to evaluating how changes in weight affect human perception during remote robot operation. By integrating haptic interface devices with industrial robots, they developed a Quality of Experience (QoE) assessment framework that quantifies the subtle nuances of weight perception in teleoperation scenarios. This contribution is critical for advancing the realism and usability of force-feedback systems, directly impacting fields such as telesurgery, hazardous material handling, and remote manufacturing. Wen's research bridges the gap between engineering and human factors, offering practical insights for designing more intuitive and perceptually accurate robotic interfaces. Their work stands as a foundational step toward creating remote systems that feel natural to operators, ultimately enhancing safety and efficiency in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1