Papers
5
Total Citations
72
H-Index
5
About
Dengfeng Zhang is a researcher at the forefront of intelligent robotics and advanced materials, whose work bridges the gap between precise robotic control and innovative soft electronics. His primary research areas include robust sliding mode control for robotic manipulators, collision detection and force control, and the development of high-performance ionogels. Zhang’s major contributions lie in addressing trajectory tracking challenges for welding robots under dynamic uncertainty and external disturbances. He has pioneered robust fuzzy sliding mode controllers with low-pass filters and extended state observer (ESO)-based backstepping methods, achieving high-accuracy tracking in complex industrial environments. Notably, his 2019 paper on robust fuzzy sliding mode control has garnered 22 citations, while his 2023 work on phase-segregated ductile eutectogels—which exhibit ultrahigh modulus and toughness for antidamaging fabric perception—has already attracted 19 citations, showcasing his impact in both robotics and materials science. With additional influential papers on adaptive fuzzy terminal sliding mode control and impedance-based collision detection, Zhang’s research is widely cited for its practical applications in welding automation and soft robotics. His work not only enhances robotic safety and precision but also opens new avenues for wearable electronics, making him a key figure in advancing intelligent manufacturing and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 3ESO based sliding mode control for the welding robot with backstepping15 citations · 2020
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