Turki Y. Abdalla
University of Basrah, Iraq University College, University of Baghdad
Papers
20
Total Citations
283
H-Index
9
About
Turki Y. Abdalla is a prominent robotics and control systems researcher whose work centers on mobile robot navigation, path planning, and intelligent control optimization. His most significant contributions lie in developing bio-inspired and nature-mimicking optimization frameworks — particularly Particle Swarm Optimization (PSO) — applied to fuzzy logic controllers, artificial potential field methods, and neural network-based control schemes for autonomous robotic systems. Abdalla's most impactful work, "Mobile robot navigation using PSO-optimized fuzzy artificial potential field with fuzzy control" (2016), has garnered 74 citations and addresses the longstanding limitations of classical potential field methods in dynamic, unknown environments — a foundational challenge in autonomous robotics. His broader portfolio spans multi-robot coordination, fractional-order PID control for manipulator path tracking, wavelet network controllers, and, more recently, soft robotics actuation — evidenced by his 2022 study on pneumatic muscle actuators. Collectively accumulating over 230 citations, Abdalla's research demonstrates a consistent trajectory of integrating computational intelligence with robotics control theory. His work is particularly valuable for students and researchers seeking practical, optimization-driven solutions to real-world challenges in autonomous navigation, trajectory tracking, and adaptive robot control across both rigid and soft robotic platforms.
Research Focus
Key Achievements
Top Papers
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- 5Trajectory Tracking Control for Mobile Robot using Wavelet Network18 citations · 2013
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- 7A PSO Optimized Fuzzy Control Scheme for Mobile Robot Path Tracking15 citations · 2013
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