Lingling Lu
Papers
2
Total Citations
33
H-Index
2
About
Lingling Lu is a leading researcher in tactile sensing and robotic electronic skin, with a focus on enabling robots to interact safely and intelligently with human-centered environments. Her work addresses critical challenges in robotic manipulation, particularly in developing advanced sensing systems that mimic human touch. Lu’s most-cited paper, “Static Tactile Sensing for a Robotic Electronic Skin via an Electromechanical Impedance-Based Approach” (2020, 19 citations), introduces a novel method for static tactile perception, allowing robots to understand object interactions through impedance measurements. Building on this, her 2022 paper “Design of Active Sensing Smart Skin for Incipient Slip Detection in Robotics Applications” (14 citations) tackles the difficult problem of slip detection, proposing an active sensing approach that surpasses traditional passive sensors by measuring force or vibration alone. These contributions are foundational for improving robotic dexterity and safety in tasks like grasping and manipulation. With a growing citation record and a focus on practical, real-world applications, Lu’s work is shaping the next generation of intelligent robotic systems, making her a notable figure in the field of tactile sensing and soft robotics.
Research Focus
Key Achievements
Top Papers
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- 2