Papers
2
Total Citations
32
H-Index
1
About
Yuqing Guo is a rising researcher in the field of soft robotics and computational mechanics, with a focus on the dynamic modeling of bio-inspired soft structures. Their key research areas include dielectric elastomer actuators, fluid-structure interaction, and high-fidelity simulation of soft-laminated materials. Guo’s major contribution lies in the development of advanced numerical frameworks that combine the Absolute Nodal Coordinate Formulation (ANCF) with immersed boundary-lattice Boltzmann methods (IB-LBM), enabling accurate and efficient modeling of soft robotic fish propelled by dielectric elastomers. This work, published in 2024, has already garnered 31 citations, reflecting its immediate impact on the soft robotics community. Additionally, Guo has advanced the modeling of soft-laminated structures by integrating ANCF elements with common coefficient and zigzag theories, achieving high-fidelity simulations for complex layered systems. Their research bridges the gap between material science and robotics, offering practical tools for designing next-generation soft robots. With a growing citation record and a focus on cutting-edge simulation techniques, Yuqing Guo is establishing themselves as a promising contributor to the future of soft robotics and computational mechanics.
Research Focus
Key Achievements
Top Papers
- 1
- 2