Deepak Gopinath

Papers

Total Citations

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About

Deepak Gopinath is a robotics and human-machine interaction researcher whose work sits at the intersection of assistive technology, neural interfaces, and shared autonomy. His research focuses on developing innovative body-machine interfaces (BoMIs) that enable individuals with severe paralysis to control complex robotic systems through residual body movements, offering transformative possibilities for rehabilitation and independent living. Gopinath's most recognized contributions explore how high-dimensional BoMIs can be used to operate robotic arms across multiple degrees of freedom, addressing a critical challenge in assistive robotics: giving users meaningful, flexible control without invasive procedures. His multi-session studies provide rare longitudinal insight into how users learn and adapt to these sophisticated interfaces over time, establishing important foundations for real-world deployment. More recently, Gopinath has expanded his scope to shared autonomy frameworks for motor skill education, investigating how AI assistance can democratize access to high-quality, personalized instruction in specialized domains such as motorsport training. His papers have collectively accumulated over a dozen citations across just a few years, reflecting a rapidly growing interest in his work. Gopinath represents an emerging voice in making advanced robotics genuinely accessible and educationally impactful.