Papers
4
Total Citations
69
H-Index
4
About
Lufeng Zhang is a robotics researcher specializing in the intersection of locomotion mechanisms and human-robot interaction, with a focus on lower-limb exoskeletons and novel mobility platforms. His work addresses fundamental challenges in robotic mobility—from overcoming rough terrain to enhancing rehabilitation technologies. Zhang’s most influential contribution is the design and implementation of a two-wheel hopping robot (2018, 46 citations), which ingeniously combines wheeled locomotion with a four-bar linkage mechanism to enable both fast, stable travel on flat surfaces and the ability to surmount obstacles. This work has become a reference point for hybrid locomotion systems. In the rehabilitation domain, Zhang has advanced exoskeleton control through machine learning, developing a Long Short-Term Memory model for gait phase classification using sEMG signals (2020, 10 citations) that achieves accurate recognition of stand and swing phases with only four muscle sensors. His research also includes stable control gait planning for self-balancing exoskeletons (2019, 7 citations) and a quantifiable method for detecting muscle fatigue during dynamic contractions (2020, 6 citations), directly addressing safety and efficiency in human-robot collaboration. Zhang’s work bridges mechanical design and intelligent control, making tangible contributions to assistive robotics and autonomous mobility.
Research Focus
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