A Harsha

International Institute of Information Technology Bangalore

Papers

Total Citations

H-Index

About

A. Harsha is a rising researcher at the forefront of robotic rehabilitation systems, with a focused expertise in developing intelligent, patient-centric technologies for stroke recovery. Their work uniquely bridges advanced machine learning with practical, edge-computing hardware to create more responsive and effective therapeutic devices. Harsha’s major contributions include pioneering a method to predict limb angles from surface electromyography (sEMG) signals using a Convolutional Neural Network (CNN) on edge devices. This innovation is critical for advancing Model Predictive Control in robotic exoskeletons, allowing motors to intelligently assist patients only when needed, thereby promoting active participation during therapy. In parallel, Harsha led the design and development of an 8-Degree-of-Freedom (DoF) forearm rehabilitation device, addressing a significant gap in the field by targeting the complex movements essential for daily living. While early in their career, with each of their foundational papers already garnering 2 citations, Harsha’s work is establishing a clear trajectory toward more intuitive, adaptive, and accessible robotic therapy, promising to significantly enhance the quality of life for stroke survivors.