Xinxin Chang
Papers
6
Total Citations
47
H-Index
4
About
Xinxin Chang is pioneering the next generation of tactile and mechanical sensors for intelligent robotics and human-machine interaction. Her research centers on soft, robust sensing systems that can simultaneously measure contact force, location, and multimodal cues—mimicking the human sense of touch. Her most cited work, a 2023 paper on a nonarray soft capacitive tactile sensor (28 citations), introduces a breakthrough design that eliminates complex sensing arrays while accurately detecting both contact force and location for robotic grippers. Chang’s innovations extend to magnetic crack-based piezoinductive sensors, which achieve extreme robustness and ultra-sensitivity (2025, 6 citations), and fully integrated, reconfigurable multiaxis force sensors using inductive displacement sensing (2024, 5 citations). She has also developed trace polymer-bonded carbon nanotube networks for precise, hysteresis-free strain sensing in healthcare (2025, 4 citations) and an inductive multimodal tactile sensor with a warm touch for human-like perception (2025, 3 citations). Her work on sub-micrometer resolution self-displacement sensing for electromagnetic actuators (2024) further showcases her ability to integrate sensing into compact, soft systems. With over 47 total citations and a focus on manufacturing reproducibility and robustness, Chang is advancing practical, high-performance tactile solutions that bridge robotics and healthcare.
Research Focus
Key Achievements
Top Papers
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