Samer Abandeh

Jordan University of Science and Technology

Papers

Total Citations

H-Index

About

Samer Abandeh is a researcher specializing in biomedical engineering and human-robot interaction, with a focus on developing intuitive control systems that bridge the gap between human physiology and robotic machinery. His work centers on electromyography (EMG) signal processing and wearable technology, aiming to create accessible, non-invasive interfaces for industrial and assistive robotics. His most notable contribution, the 2019 paper "Using EMG Signals to Remotely Control a 3D Industrial Robotic Arm," introduces a muscle gesture computer interface (MGCI) system that leverages a commercial MYO armband to translate forearm muscle activity into real-time robotic commands. By integrating LabVIEW and Visual Studio, Abandeh demonstrated a practical, low-cost approach to remote robot navigation, reducing the need for complex training or bulky equipment. While his citation count remains modest at 2, this work represents a foundational step in democratizing robotic control for industrial applications, offering a blueprint for future research in wearable-driven automation. Abandeh’s research is particularly relevant for students and engineers exploring the intersection of biosignal processing, cyber-physical systems, and human-centered design in robotics.