Shraddha Srivastava
University of Delaware, Medical University of South Carolina
Papers
4
Total Citations
284
H-Index
4
About
Shraddha Srivastava is a leading researcher in the field of robotic neurorehabilitation, with a primary focus on developing intelligent, adaptive control algorithms for post-stroke gait training. Her major contributions center on the “assist-as-needed” (AAN) paradigm, a groundbreaking approach that encourages active patient participation during robot-aided therapy. Her seminal 2015 paper on AAN gait training, which has garnered 171 citations, demonstrated significant improvements in walking function for stroke survivors, establishing a new standard for robotic rehabilitation. Srivastava has also pioneered the comparative study of performance-based error-augmentation versus error-reduction training, exploring how robotic exoskeletons can be programmed to either amplify or minimize movement errors to retrain healthy and impaired gait patterns. Her work directly addresses the labor-intensive nature of traditional therapist-assisted body weight supported treadmill training, offering a scalable, robotic alternative. By systematically investigating how control algorithms modify walking patterns, Srivastava’s research is instrumental in creating more effective, personalized, and autonomous rehabilitation technologies that promise to transform recovery outcomes for individuals with neurological impairments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4