Yuxiang Hua
Papers
1
Total Citations
48
H-Index
1
About
Yuxiang Hua is a leading researcher in the field of wearable robotics, with a primary focus on lower limb exoskeletons for load-bearing and mobility assistance. His most-cited work, “A Novel Weight-Bearing Lower Limb Exoskeleton Based on Motion Intention Prediction and Locomotion State Identification” (2019, 48 citations), introduces a groundbreaking variable magnification ratio transmission structure powered by electric actuators. This design significantly enhances exoskeleton flexibility and portability under heavy load conditions, addressing a critical challenge in the field. Hua’s major contributions lie in optimizing connecting rod sizes and hanging positions to maximize output efficiency, while integrating motion intention prediction and locomotion state identification for intuitive, adaptive control. His research bridges mechanical design and intelligent control, advancing practical exoskeleton applications in military, industrial, and rehabilitation settings. With a growing citation impact, Hua’s work is recognized for its innovative approach to balancing power, weight, and user intent, making him a notable figure in the evolution of assistive robotic technologies.
Research Focus
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Top Papers
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