Mustaffa waad Abbas
Papers
1
Total Citations
4
H-Index
1
About
Mustaffa Waad Abbas is a researcher whose work lies at the intersection of robotics, optimization algorithms, and distributed systems. His primary research focuses on developing intelligent path-planning techniques for mobile robots operating in known, obstacle-laden environments. Abbas’s most notable contribution is the proposal of an Enhanced Genetic Algorithm (EGA), which optimizes robot navigation by leveraging links among distributed nodes to find the most efficient path. This work, published in 2013, has garnered 4 citations and demonstrates his ability to blend evolutionary computation with real-world robotic challenges. By dividing the workspace into a grid and applying genetic operators, Abbas’s approach improves upon traditional methods, offering a robust solution for static obstacle avoidance. His research holds practical implications for autonomous systems, warehouse logistics, and search-and-rescue operations. Though early in his citation impact, Abbas’s work lays a foundation for further advancements in adaptive robotics and multi-agent coordination, marking him as a contributor to the growing field of intelligent automation.
Research Focus
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Top Papers
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