Funing Hou
Papers
5
Total Citations
64
H-Index
3
About
Funing Hou is a leading researcher in tactile sensing for physical human-robot interaction (pHRI), with a focus on developing high-performance, flexible, and cost-efficient sensor systems. Their work addresses critical challenges in enabling robots to safely and naturally perceive and respond to human touch, a key capability for service, healthcare, and wearable robotics. Hou’s major contributions include the design of a cost-efficient, flexible supercapacitive tactile sensor with superior sensitivity and high spatial resolution (27 citations), and the creation of the TacAct dataset, a structured tactile information repository that advances the understanding of human-robot touch communication (22 citations). They have also pioneered 3-D-curved iontronic tactile sensors with novel denoising methods for monitoring contact on irregular surfaces (11 citations), and developed a crosstalk-free impedance-separating measurement method for iontronic arrays (2024). Additionally, Hou contributed to a robotic lower limb with eight degrees of freedom and whole-foot tactile perception, enabling anthropomorphic behavior. Their work is foundational for building robots with advanced bionic intelligence and autonomous reflexes.
Research Focus
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Top Papers
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