Mohammed Abdulteef Jasim

Papers

Total Citations

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About

Mohammed Abdulteef Jasim is a researcher whose work sits at the critical intersection of biomedical engineering and human-robot interaction (HRI). His primary research area focuses on leveraging electromyography (EMG) signals to create intuitive interfaces between humans and robotic systems. Jasim’s most cited work, "Human-Robot Arm Interaction Based on Electromyography Signal" (2021), with 12 citations, establishes a foundational framework for using muscle-generated electrical signals to control robotic arms in structured and dynamic environments. This contribution is particularly significant for developing assistive technologies and prosthetics, where natural, non-invasive control is paramount. By specializing in the illumination of EMG patterns for HRI, Jasim is advancing the practical application of biomedical signals, moving beyond theoretical models toward real-world interfaces that can enhance human capability and rehabilitation. His research holds promise for creating more responsive and intuitive robotic systems that can seamlessly integrate into clinical and industrial settings, marking him as an emerging voice in the field of bio-signal-based robotics.