Papers
3
Total Citations
36
H-Index
3
About
Xingyu Zhang is a leading researcher at the intersection of smart materials and intelligent robotics, with key contributions in hydrogel mechanics and robotic manipulation. Their work on constitutive modeling for hydrogels with chain entanglements has advanced the design of adaptive composite structures for flexible electronics and biomedical engineering, addressing the critical challenge of balancing strength and flexibility. This foundational paper has earned 13 citations and opened new pathways for high-performance soft materials. In robotics, Zhang has pioneered the use of invertible liquid neural networks for learning inverse kinematics and dynamics, achieving 12 citations by enabling precise control of robotic manipulators without relying on traditional analytical models. Their 2024 work on self-adaptive robust motion planning using deep model predictive control (MPC) further demonstrates their impact, with 11 citations for a novel framework that leverages robust optimization to handle high-degree-of-freedom manipulators under uncertainty. Zhang’s research uniquely bridges material science and control theory, offering practical solutions for flexible robots and adaptive systems, making them a notable figure in next-generation autonomous and soft robotics.
Research Focus
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Top Papers
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