Ganesh Udupa

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About

Dr. Ganesh Udupa is a leading researcher in rehabilitation robotics and human-machine interaction, with a focus on making assistive technologies more accessible and intuitive. His work bridges electromyography (EMG) signal processing and machine learning to enhance prosthetic control and rehabilitation systems. In his 2024 study, "Cost-Effective EMG Signal Acquisition for Rehabilitation Robotics using Single-Channel Sensors and Machine Learning," he demonstrated how single-channel sensors combined with ML algorithms can accurately classify EMG signals, improving the responsiveness of myoelectric prosthetic hands while reducing system costs—a critical step toward affordable rehabilitation solutions. This work has garnered early citations, reflecting its potential impact on clinical applications. Dr. Udupa also explores intuitive robotic control, as seen in his 2021 paper on "Intuitive Manipulation of Delta Robot Using Leap Motion," which advances non-invasive human-robot interfaces. By integrating gesture recognition with robotic systems, he enables more natural interactions for users. His research not only pushes the boundaries of assistive robotics but also prioritizes cost-effectiveness and user-centered design, making him a notable contributor to the field.