Wenqing Kan
Papers
2
Total Citations
47
H-Index
2
About
Wenqing Kan has made pioneering contributions to the field of robotic tactile and proximity sensing, with a focus on developing multi-modal sensor systems that enhance robot-environment interaction. Kan’s research centers on designing flexible, dual-mode proximity sensors that integrate distinct sensing mechanisms—such as capacitive-resistive or inductive-capacitive units—to enable robots to not only detect objects but also distinguish their material properties and distance. This cooperative sensing approach is critical for advancing robot skin applications, allowing for more nuanced and adaptive responses in unstructured environments. Kan’s most cited work, a 2017 paper on a flexible dual-mode proximity sensor for robot skin, has garnered 28 citations, while a subsequent 2018 study combining inductive and capacitive sensing has earned 19 citations. These publications demonstrate Kan’s ability to systematically characterize sensor responses to various objects, providing a foundation for smarter, safer robotic systems. By bridging the gap between simple proximity detection and material-aware sensing, Kan’s research holds significant promise for the next generation of autonomous robots and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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