Nakul Sanwlot
Papers
1
Total Citations
2
H-Index
1
About
Nakul Sanwlot is a rising researcher at the intersection of rehabilitation robotics and biomedical signal processing, with a core focus on making assistive technologies more accessible. His most impactful work, "Cost-Effective EMG Signal Acquisition for Rehabilitation Robotics using Single-Channel Sensors and Machine Learning" (2024), addresses a critical barrier in prosthetics: the high cost of multi-channel sensor arrays. By demonstrating that single-channel electromyography (EMG) signals, when paired with advanced machine learning classification, can achieve reliable control of myoelectric prosthetic hands and rehabilitation systems, Sanwlot has pioneered a path toward affordable, practical solutions for amputees and patients with motor impairments. This work, already garnering 2 citations shortly after publication, showcases his ability to bridge engineering efficiency with clinical need. Sanwlot’s contributions are particularly notable for their potential to democratize rehabilitation robotics in low-resource settings, where cost constraints often limit access to life-changing technology. His research stands as a promising step toward scalable, intelligent prosthetics that respond accurately to user intent, marking him as a key emerging voice in the field of human-machine interaction.
Research Focus
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Top Papers
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