Papers
5
Total Citations
363
H-Index
5
About
Xue‐Feng Zhu is a pioneering researcher whose work bridges the frontiers of soft robotics, intelligent materials, and rehabilitation engineering. His most impactful contributions include the development of data-driven model-free adaptive sliding mode control for multi-degree-of-freedom robotic exoskeletons, a seminal paper with 178 citations that advanced adaptive control strategies for assistive devices. Zhu also achieved a breakthrough in topological physics with his experimental observation of elastic topological states in soft materials (137 citations), demonstrating how classic motion laws can be harnessed for quantum and classical information processing. His innovative spirit extends to the creation of untethered soft microrobots with adaptive logic gates (2023), integrating computational intelligence directly into soft matter to move beyond simple stimulus-response behaviors. In rehabilitation robotics, Zhu has developed double iterative compensation learning control and nonlinear iterative learning control for upper-limb rehabilitation robots, addressing critical challenges in trajectory tracking and uncertainty. His work not only pushes the boundaries of smart materials and adaptive systems but also holds transformative potential for medical robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Observation of elastic topological states in soft materials137 citations · 2018
- 3
- 4Untethered Soft Microrobots with Adaptive Logic Gates18 citations · 2023
- 5