R Nitheezkant

International Institute of Information Technology Bangalore

Papers

Total Citations

H-Index

About

R. Nitheezkant is at the forefront of advancing robotic rehabilitative systems, with a focused research agenda in human-robot interaction, machine learning for biomedical signal processing, and assistive device design. His major contributions lie in bridging the gap between intelligent control and practical rehabilitation, particularly for stroke survivors. Notably, his work on "CNN factored sEMG based Limb Angle Prediction on the Edge" pioneers the use of edge computing to enable real-time, model predictive control of robotic systems, allowing for patient-driven motion that is critical for effective therapy. This approach, already garnering early citations, promises to make rehabilitation more responsive and adaptive. Complementing this, his "Design and Development of 8-DoF Forearm Rehabilitation Device" addresses a critical gap in therapy for daily living activities, creating a high-degree-of-freedom system specifically for the forearm. With his most cited papers already influencing the field, Nitheezkant’s work is shaping the next generation of smart, patient-centric rehabilitation technologies, making him a rising voice in the engineering of assistive robotics.