Z. A. Ibrahim
Papers
2
Total Citations
27
H-Index
2
About
Z. A. Ibrahim is a researcher specializing in mobile robot navigation, path planning, and obstacle avoidance in complex, dynamic environments. Their work focuses on developing novel algorithms that enable autonomous agents to efficiently reach moving targets while safely circumventing polygonal obstacles. Ibrahim’s major contributions include the introduction of the **Prediction-Based Path Planning** algorithm (2016, 14 citations), which allows a robot to anticipate the motion of a dynamic target and plan an optimal, collision-free trajectory. They also pioneered the **Virtual Circle Tangents** method (2016, 13 citations), a clever approach that simplifies polygonal obstacles into virtual circles to generate all possible tangent-based paths from source to destination. These algorithms are particularly impactful for real-world applications in autonomous vehicles, drone navigation, and industrial robotics, where environments are unpredictable and obstacles irregular. Ibrahim’s work is recognized for its practical, computationally efficient solutions to classic motion planning challenges, making significant strides toward reliable, real-time robot autonomy.
Research Focus
Key Achievements
Top Papers
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