Jixiao Liu
Papers
10
Total Citations
103
H-Index
6
About
Jixiao Liu is a leading researcher in tactile sensing for physical human-robot interaction (pHRI), with a focus on developing flexible, cost-efficient sensors that enable robots to safely interpret human touch. Liu’s major contributions include the invention of a flexible supercapacitive tactile sensor that achieves superior sensitivity and high spatial resolution without complex arrays, as demonstrated in their highly cited 2020 work (27 citations). They also pioneered the TacAct dataset, a foundational resource for organizing tactile information during pHRI (22 citations), and advanced 3-D-curved iontronic sensors for irregular surfaces, addressing a critical gap in real-world robot design. With over 100 total citations across ten key publications, Liu’s work has directly impacted wearable robotics, healthcare automation, and service robot safety. Notable achievements include developing array-less touch identification methods that simplify sensor fabrication and data processing, as well as extending tactile intelligence to robotic lower limbs for anthropomorphic behavior. Their research bridges sensor engineering and cognitive robotics, with recent explorations into RFID-based pose estimation for nursing care and upper limb training for mild cognitive impairment, showcasing a commitment to human-centered, real-world applications.
Research Focus
Key Achievements
Top Papers
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- 5Tactile Features of Human Finger Contact Motor Primitives8 citations · 2023
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- 7RF-Care: RFID-based Human Pose Estimation for Nursing-care Applications5 citations · 2021
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