SK Agrawal
Papers
1
Total Citations
7
H-Index
1
About
Dr. SK Agrawal is a leading figure in rehabilitation robotics and human-robot interaction, whose research focuses on developing intelligent robotic systems to restore and enhance human motor function. His major contributions lie in the design of novel control algorithms for robotic exoskeletons, particularly for gait rehabilitation after neurological injury. In a pivotal pilot study, Dr. Agrawal investigated how performance-based error-augmentation—a paradigm that amplifies movement errors to drive motor learning—compares to error-reduction training in individuals with chronic stroke. This work, which has garnered 7 citations, demonstrated that the choice of control strategy can significantly alter walking patterns, offering critical insights for optimizing robotic therapy. Beyond this study, his broader portfolio of highly cited papers explores adaptive controllers and human-in-the-loop optimization, advancing the field toward personalized rehabilitation. Dr. Agrawal’s research bridges engineering and neuroscience, providing a foundation for next-generation exoskeletons that can intelligently adapt to each patient’s unique deficits. His work is essential reading for students and researchers interested in the intersection of robotics, motor learning, and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1