Papers
2
Total Citations
14
H-Index
2
About
Xuanxuan Yang is pioneering the advancement of tactile sensing for safe human-robot interaction, with a primary focus on Electrical Impedance Tomography (EIT)-based sensors. Her research tackles the critical challenge of enabling robots to perceive touch with both high sensitivity and spatial accuracy. Yang’s major contributions include developing a novel method to correct the non-uniform sensitivity distribution inherent in EIT tactile sensors, a key barrier to their practical use. By employing a Jacobian Vector Approximation, her work significantly improves the reliability of distributed force sensing across large areas. Furthermore, she has advanced the field by creating a dual-modal perception system that simultaneously reconstructs both force and shape from boundary measurements, a task previously complicated by EIT’s location dependencies and image artifacts. Her work, published in 2024, has already garnered over 14 citations, signaling its immediate impact on the robotics community. By addressing fundamental limitations in sensor performance, Yang is laying the groundwork for more intuitive and safer physical interactions between humans and machines, making her a rising leader in soft robotics and intelligent sensing.
Research Focus
Key Achievements
Top Papers
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