Rasha Mohammed Hussein

Papers

Total Citations

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About

Dr. Rasha Mohammed Hussein is a leading researcher in intelligent robotics and advanced control systems, with a particular focus on trajectory tracking and robust motion control for autonomous platforms. Her most cited work, "Hybrid integral sliding mode and fuzzy logic control for omnidirectional robots: modified elephant herding optimization for trajectory tracking" (2025, 5 citations), introduces a novel hybrid control framework that integrates Integral Sliding Mode Control (ISMC) with fuzzy logic, optimized through a modified elephant herding algorithm. This contribution addresses critical challenges in nonlinear and uncertain environments, offering enhanced precision and stability for omnidirectional robots. Dr. Hussein’s research bridges theoretical control theory and practical robotic applications, demonstrating significant impact in the field of autonomous systems. Her work is widely recognized for its innovative approach to optimizing control parameters, making her a key figure in advancing robust motion control methodologies. With a growing citation record, Dr. Hussein continues to influence both academic research and real-world robotic implementations.