Papers
11
Total Citations
353
H-Index
6
About
Wujing Cao is a leading researcher at the intersection of agricultural technology and rehabilitation robotics, whose work spans from deep learning in precision agriculture to the development of advanced wearable exoskeletons. Their most impactful contribution, a comprehensive review on deep learning in multiscale agricultural sensing (232 citations), addresses the critical challenge of increasing crop yields sustainably amid population growth and climate change. In the field of rehabilitation robotics, Cao has designed and analyzed a novel 12-DOF self-balancing lower extremity exoskeleton for walking assistance (63 citations), demonstrating expertise in creating lightweight, modular systems with compliant ankle joints. Their work extends to soft exosuits for running assistance and innovative control strategies integrating EEG and sEMG signals for real-time exoskeleton control. As an editor of a special issue on biomechanics and bio-inspired control in wearable robotics, Cao bridges fundamental biomechanics with practical rehabilitation applications, making significant strides toward restoring mobility for patients with paralysis and stroke-related impairments.
Research Focus
Key Achievements
Top Papers
- 1A Review of Deep Learning in Multiscale Agricultural Sensing232 citations · 2022
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