Xupeng Ai
Papers
9
Total Citations
48
H-Index
5
About
Xupeng Ai is an emerging researcher at the intersection of rehabilitation robotics, postural control, and neuromuscular science, with a focused body of work addressing motor recovery in individuals with neuromotor disorders, including cerebral palsy and spinal cord injury. His research centers on developing and evaluating innovative robotic and technology-assisted interventions—such as the Robotic Upright Stand Trainer (RobUST) and Trunk Support Trainer—to improve sitting, standing, and transitional movement control in clinically vulnerable populations. Among his notable contributions, Ai has advanced the application of boundary-based assist-as-needed force fields in postural training, demonstrating their effects on muscle synergies and neuromuscular coordination. His integration of deep learning for real-time prediction of seated postural limits represents a meaningful step toward adaptive, personalized rehabilitation systems. He has also explored how virtual and augmented reality can enhance robot-assisted training, broadening the rehabilitative toolkit available to clinicians. With citations accumulating across studies published between 2022 and 2024, Ai's work is gaining traction within the rehabilitation engineering community. His randomized controlled trial protocol targeting children with cerebral palsy further signals a commitment to translating engineering innovations into rigorous clinical practice, positioning him as a promising contributor to the future of technology-driven motor rehabilitation.
Research Focus
Key Achievements
Top Papers
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- 2Reactive Postural Control During Sit-to-Stand Motion7 citations · 2022
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