Bashra Kadhim Oleiwi
University of Siegen, University of Technology - Iraq, University of Technology
Papers
14
Total Citations
218
H-Index
10
About
Bashra Kadhim Oleiwi is a prominent robotics and autonomous systems researcher whose work spans mobile robot path planning, intelligent control systems, and optimization algorithms. With a career rooted in solving complex real-world navigation and control challenges, Oleiwi has made substantial contributions to the field of autonomous mobile robotics and robotic manipulator control. Among her most influential contributions is a pioneering hybrid ACO-Genetic Algorithm framework for multi-objective mobile robot path planning (2014, 34 citations), which demonstrated how combining metaheuristic approaches could yield superior collision-free navigation solutions. She further advanced the field through fuzzy logic-based collision avoidance in dynamic indoor environments (2021, 28 citations) and an innovative Adaptive Dimension Limit–Artificial Bee Colony algorithm for optimal global path planning (2020, 25 citations). Oleiwi's research has increasingly extended into sophisticated robotic manipulator control, with notable work on Neural Fractional Order PID controllers for multi-link robot systems (2023, 23 citations) and zebra optimization algorithm-tuned hybrid neural network controllers (2024, 13 citations). Her multi-robot coordination and trajectory optimization studies further underscore her breadth of expertise. Collectively accumulating nearly 200 citations, her work continues to serve as a valuable resource for researchers advancing intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 3Path Planning of Mobile Robot Using Improved Artificial Bee Colony Algorithm25 citations · 2020
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- 9Scouting and Controlling for Mobile Robot Based Raspberry Pi 311 citations · 2019
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