Tharun Kumar Reddy

Papers

Total Citations

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About

Tharun Kumar Reddy is pioneering accessible, real-world applications of Brain-Computer Interface (BCI) technology, with a primary focus on assistive robotics and neural signal processing. His most cited work, "EEG Control of a Robotic Wheelchair" (2023, 5 citations), tackles the critical barrier between clinical BCI research and consumer adoption. Reddy’s major contribution lies in demonstrating that low-cost, open-source hardware can reliably decode EEG signals for autonomous wheelchair navigation—challenging the prevailing assumption that high-performance BCI requires expensive, specialized equipment. By prioritizing affordability and robustness, his research directly addresses the cost, reliability, and autonomy limitations that have long kept BCI from everyday use. This work not only advances the field of neural prosthetics but also offers a scalable blueprint for assistive technologies in low-resource settings. Reddy’s approach, combining rigorous signal processing with practical hardware design, marks a significant step toward democratizing BCI for mobility-impaired individuals. His ongoing efforts continue to bridge the gap between laboratory-grade neural interfaces and deployable, life-changing devices.