Ibrahim K. Mohammed
Papers
2
Total Citations
22
H-Index
2
About
Ibrahim K. Mohammed is a control systems and robotics researcher whose work focuses on the stabilization and actuation of complex mechatronic systems. His key research areas include intelligent control algorithms, bio-inspired optimization, and magnetic actuation for biomedical devices. Mohammed’s most cited work, “Balancing a Segway robot using LQR controller based on genetic and bacteria foraging optimization algorithms” (2020, 15 citations), presents a novel hybrid approach that combines Linear Quadratic Regulator (LQR) control with genetic and bacteria foraging optimization to address the inherent instability of two-wheeled human transport robots. This contribution demonstrates his expertise in applying nature-inspired algorithms to enhance classical control methods. In another notable study, “Design and implementation of a magnetic levitation control system for robotically actuated capsule endoscopes” (2012, 7 citations), Mohammed developed a PID-based magnetic levitation system to wirelessly actuate capsule endoscopes within the colon, offering a less invasive alternative for gastrointestinal diagnostics. His work bridges theoretical control design with practical robotic applications, showcasing a commitment to solving real-world engineering challenges. With a growing citation record, Mohammed’s research continues to influence both autonomous vehicle stability and medical robotics.
Research Focus
Key Achievements
Top Papers
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