Ahmad Bataineh

Jordan University of Science and Technology

Papers

Total Citations

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About

Ahmad Bataineh is a robotics and control systems researcher whose work focuses on assistive technologies and human-machine interaction. His key research areas include electromyography (EMG)-based control systems, intelligent wheelchair navigation, and industrial robotic manipulation. Bataineh's most notable contribution is the development of a muscle gesture computer interface (MGCI) system that uses a commercial MYO armband to remotely control a 3D industrial robotic arm—a pioneering approach that bridges biosignal processing with practical robotics. His 2019 paper on this topic has garnered 2 citations and demonstrates the potential for intuitive, hands-free control of industrial equipment. In another significant study (2021, 2 citations), Bataineh addressed the critical challenge of tracking error elimination for omnidirectional wheelchairs, implementing a PD-Fuzzy-P controller to improve maneuverability for disabled users. This work directly contributes to enhancing mobility and quality of life for individuals with physical disabilities. Bataineh's research stands at the intersection of biomedical engineering and robotics, offering practical solutions that translate biological signals into precise mechanical actions. His work exemplifies how advanced control algorithms can be applied to real-world assistive devices, making him a notable figure in the field of human-robot interaction and rehabilitation robotics.