Papers
3
Total Citations
59
H-Index
3
About
Ashwin Iyer is a leading researcher at the intersection of neurorehabilitation and wearable robotics, whose work is redefining how assistive technologies interpret and respond to human intent. His primary research areas include human-robot interaction, biosignal processing, and shared control systems for hybrid exoskeletons. Iyer’s most impactful contribution is his pioneering evaluation of non-invasive methods for predicting ankle joint effort, combining surface electromyography (sEMG) with ultrasound imaging to achieve more reliable voluntary effort measurement—a critical advance for safe, intuitive neurorehabilitation devices. This work, published in 2020, has garnered 50 citations, underscoring its influence on the field. More recently, Iyer has explored real-time ultrasound imaging of human muscle to optimize shared control in hybrid exoskeletons that integrate powered exoskeletons with functional electrical stimulation (FES), a promising approach for restoring mobility after spinal cord injury. He has also developed innovative control frameworks, such as dynamic active subspaces for model predictive allocation in over-actuated systems, demonstrating his versatility in addressing complex robotic challenges. Iyer’s research is distinguished by its direct translational potential, aiming to make assistive robots more responsive and effective for individuals with neurological impairments.
Research Focus
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