Ashwin Narayan
Papers
4
Total Citations
59
H-Index
3
About
Ashwin Narayan is a leading researcher in the fields of rehabilitation robotics and assistive technologies, with a primary focus on restoring mobility for stroke survivors. His work centers on developing intelligent, adaptive control systems for lower limb wearable robots and robotic gait trainers. Narayan’s major contributions include pioneering a phase-synchronized assistive torque control method that corrects kinematic anomalies in the gait cycle, a breakthrough that directly addresses the functional mobility restrictions faced by post-stroke patients (37 citations). He has also advanced the field with a deep learning-based, end-to-end locomotion mode detection system for wearable robots, enabling seamless transitions between walking, stair ascent, and ramp negotiation in real-world environments (17 citations). Beyond these, Narayan has integrated robotic mobile platforms with functional electrical stimulation to create comprehensive gait rehabilitation systems. His work on high-mobility omnidirectional walkers, which provide trunk support while allowing unrestricted pelvic motion, represents a novel approach to balance and fall prevention during training. Through these innovations, Narayan is shaping the future of neurorehabilitation, making robotic assistance more intuitive, responsive, and effective for clinical and everyday use.
Research Focus
Key Achievements
Top Papers
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