Zhuyong Liu
Papers
5
Total Citations
62
H-Index
4
About
Zhuyong Liu is a leading researcher in multibody dynamics, soft robotics, and bionic actuation, with a focus on advancing the modeling and control of flexible and cable-driven robotic systems. His major contributions include pioneering the use of the Arbitrary Lagrangian-Eulerian (ALE) method to analyze cable-driven snake robots, addressing critical nonlinear factors like clearance and friction that cause motion uncertainty and cable failure—work that has garnered 29 citations. He has also developed topology-optimized compliant actuators for soft robotic grippers and walking robots, achieving 17 citations for their versatile, bio-inspired designs. Liu’s research extends to bionic soft grippers with feedback control for adaptive grasping, and corotational dynamic models for hard-magnetic soft elastomers, integrating particle swarm optimization and deep neural networks. With over 60 total citations across his top papers, his work bridges theoretical multibody dynamics and practical soft robotics, offering robust solutions for complex environments. Notably, his 2024 studies on flexible robot motion analysis and adaptive grasping highlight his impact on real-world applications, from industrial manipulation to exploratory robotics, making him a key figure in the evolution of compliant and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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