Wenjie Mao
Papers
1
Total Citations
11
H-Index
1
About
Dr. Wenjie Mao is a leading researcher in the field of biomechatronics and human-robot interaction, with a primary focus on intelligent exoskeleton control and wearable sensor technology. His most impactful work centers on advancing the prediction of continuous lower limb joint angles—a critical challenge for natural and responsive exoskeleton motion. In his highly cited 2024 paper, Mao introduced a novel method using surface electromyography (sEMG) signals processed through an improved sparrow search algorithm (ISSA) combined with a hybrid kernel extreme learning machine (HKELM). This approach significantly enhances the accuracy and real-time performance of hip and knee angle prediction, directly enabling more intuitive and adaptive exoskeleton control. With 11 citations in its first year, this work has already influenced subsequent studies in rehabilitation robotics and assistive devices. Mao’s contributions bridge the gap between biological signal processing and practical robotic actuation, offering a scalable solution for personalized motion assistance. His research holds promise for transforming rehabilitation therapies and augmenting human mobility, positioning him as an emerging authority in intelligent wearable robotics.
Research Focus
Key Achievements
Top Papers
- 1