Ouarda Hachour
Papers
10
Total Citations
387
H-Index
6
About
Ouarda Hachour is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent navigation, path planning, and adaptive control systems. Over more than a decade of sustained contributions, her work has explored the intersection of computational intelligence and robotic autonomy, drawing on techniques including genetic algorithms, fuzzy logic, neural networks, and expert systems to solve real-world navigation challenges in unknown and dynamic environments. Her most impactful contribution, "Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control" (2016), has garnered 245 citations, establishing her as a recognized voice in hybrid intelligent systems for robotics. This work exemplifies her broader research philosophy: combining the strengths of multiple AI paradigms to achieve robust, adaptive robot behavior. Her earlier foundational paper on autonomous mobile robot path planning (2008, 92 citations) further cemented her reputation in this domain. Hachour's body of work consistently addresses core challenges such as obstacle avoidance, cognitive task modeling, and hardware implementation via FPGA-based genetic algorithms. Her research offers valuable frameworks for students and engineers working at the frontier of intelligent autonomous systems, making meaningful strides toward robots capable of operating reliably in complex, unpredictable environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2PATH PLANNING OF AUTONOMOUS MOBILE ROBOT92 citations · 2008
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- 5A genetic_FPGA algorithm path planning of an autonomous mobile robot7 citations · 2008
- 6Cognitive tasks behavior of intelligent autonomous mobile robots6 citations · 2011
- 7Intelligent autonomous path planning systems5 citations · 2011
- 8Neural path planning for mobile robots5 citations · 2015
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