Fengyuan Liu
Papers
7
Total Citations
741
H-Index
5
About
Fengyuan Liu is a pioneering researcher at the intersection of robotics, electronic skin (e-skin) technology, and human-robot interaction. His most influential work centers on developing large-area flexible e-skin systems that replicate the sensory capabilities of human skin, enabling robots to detect touch, temperature, and pain with biological fidelity. His 2019 paper on large-area soft e-skin (296 citations) and his 2022 work on neuro-inspired electronic skin (276 citations) have become landmark references in the field, collectively demonstrating that neuromorphic architectures can dramatically improve tactile data encoding and processing in robotic systems. His 2022 study on printed synaptic transistor-based e-skin (139 citations) further advanced the field by integrating multimodal sensing with on-skin signal preprocessing, pushing robots closer to genuine tactile intelligence. Beyond hardware, Liu has broadened his research portfolio to encompass the psychological and neurological dimensions of human-robot collaboration. Using neuroimaging tools like fNIRS, he explores how humans perceive robot personality, respond to robotic errors, and build intimacy with service robots. This multidisciplinary range — spanning materials science, neuroscience, and social robotics — positions Liu as a uniquely versatile contributor shaping the future of intelligent, empathetic robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Large-Area Soft e-Skin: The Challenges Beyond Sensor Designs296 citations · 2019
- 2Neuro-inspired electronic skin for robots276 citations · 2022
- 3Printed synaptic transistor–based electronic skin for robots to feel and learn139 citations · 2022
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- 6Towards flexible magnetoelectronics for robotic applications4 citations · 2017
- 7Neural Correlates of Robot Personality Perception: An fNIRS Study3 citations · 2024