Mohammad Samad

Papers

Total Citations

H-Index

About

Mohammad Samad is a researcher at the forefront of human-robot interaction, with a particular focus on intuitive, non-verbal control systems. His work centers on bridging the gap between human intent and robotic action, leveraging wearable sensor technology to create more natural interfaces. His most cited paper, "Hand Gesture Based Control of NAO Robot Using Myo Armband" (2019), demonstrates a pioneering approach to controlling the popular NAO humanoid robot through electromyography (EMG) signals captured by a Myo armband. This research, which has garnered 6 citations, showcases his ability to translate complex physiological data into real-time, reliable robot commands, offering a hands-free alternative to traditional controllers. Samad’s contributions are particularly significant for assistive robotics and rehabilitation, where intuitive control is paramount. By enabling users to command a robot with simple hand gestures, his work opens new avenues for accessible technology, making him a notable voice in the growing field of wearable-driven robotic interfaces.