Avinash Baskaran

Papers

Total Citations

H-Index

About

Avinash Baskaran is a researcher at the forefront of human-robot interaction, specializing in neuromuscular control and assistive robotics for the hand. His work focuses on decoding the body’s electrical signals to create more intuitive and resilient robotic exoskeletons. Baskaran’s key contributions include developing a "space-by-time neural signal decomposition" method for neuromuscular state estimation, which enhances the fidelity of surface electromyography (sEMG) in controlling hand exoskeletons. He has also pioneered techniques to assess neuromuscular fatigue from muscle synergies during hand poses, addressing a critical barrier to the long-term reliability of sEMG-based robotic control. Though early in his career, his papers—each garnering 2 citations—tackle foundational challenges in making assistive robots responsive and fatigue-aware. By bridging neural signal processing with practical robotics, Baskaran is laying the groundwork for exoskeletons that adapt to human physiology in real time, a vital step toward wearable robots that can safely augment human performance in rehabilitation, industry, and daily life.