Zhongyuan Liao
Papers
9
Total Citations
51
H-Index
5
About
Zhongyuan Liao is a researcher at the forefront of intelligent manufacturing and human–robot interaction, with key contributions in digital twin technology, soft robotics, and augmented reality (AR) systems. His work bridges the gap between physical and virtual environments, notably through the development of AR-enhanced digital twins for manufacturing systems, which enable real-time visualization and collaboration between humans and robots—a paper that has garnered 17 citations since 2024. Liao has also advanced the field with physical modeling for digital twins of continuous damping control dampers (10 citations) and optimal design of soft pneumatic actuators using isogeometric analysis (6 citations). His innovative approach extends to reconfigurable soft robots based on modular design, as well as aerosol jet printing of capacitive strain gauges for human vibration monitoring (5 citations). Additionally, Liao has explored multisensory virtual reality for fire training with robot-assisted simulation. With a growing citation impact across these diverse areas, his work is shaping the future of adaptive, human-centric automation and smart manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Physical modeling for digital twin of Continuous Damping Control damper10 citations · 2023
- 3Soft pneumatic actuator optimal design based on isogeometric analysis6 citations · 2023
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- 8Reconfigurable Soft Robots based on Modular Design2 citations · 2022
- 9