Papers
1
Total Citations
6
H-Index
1
About
Dun-Yan Wu is a researcher in the field of assistive robotics and biomechatronics, with a primary focus on the development of intelligent control strategies for lower-limb exoskeletons. His work centers on enhancing human-robot interaction, particularly for mobility assistance in challenging activities like stair climbing. Wu’s major contribution lies in the application of recurrent neural networks (RNNs) to estimate knee joint muscular torques in real time, a critical step for designing responsive and safe assistive control systems. His most-cited paper, “RNN Based Knee Joint Muscular Torque Estimation of a Knee Exoskeleton for Stair Climbing” (2021), with 6 citations, demonstrates a novel approach to identifying the precise timing for delivering assistive torques during stair ascent and descent. This work is notable for addressing a key challenge in exoskeleton control—synchronizing mechanical support with natural human movement patterns. By bridging neural network modeling with practical biomechanical applications, Wu’s research contributes to making wearable robotic devices more intuitive and effective for users with mobility impairments, advancing the frontier of rehabilitation engineering and human augmentation.
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Top Papers
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