Yuexuan Wu
Papers
2
Total Citations
11
H-Index
2
About
Yuexuan Wu is a researcher specializing in biomechanics, exoskeleton robotics, and human-machine interaction, with a focus on advancing assistive technologies for human mobility and load-bearing. Wu’s major contributions lie in developing computational and control methods to enhance the design and performance of exoskeleton systems. Notably, their 2019 work on “Biomechanical simulation analysis of human lower limbs assisted by exoskeleton” (8 citations) introduced an OpenSim-based musculoskeletal modeling approach to simulate human-exoskeleton coupling, significantly reducing design iteration time and costs. In another key study, “Impedance Control of Series Elastic Actuators in Exoskeleton Using Recurrent Neural Network” (3 citations), Wu pioneered the integration of recurrent neural networks with impedance control for series elastic actuators, enabling flexible, compliant force and position control in human-robot interaction. These contributions address critical challenges in exoskeleton development, such as lengthy prototyping cycles and the need for adaptive, safe interaction. Wu’s work, though early in citation impact, demonstrates a strong foundation in simulation and intelligent control, positioning them as an emerging voice in the field of wearable robotics and biomechanical engineering.
Research Focus
Key Achievements
Top Papers
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