Ines Boutabia
Papers
2
Total Citations
19
H-Index
2
About
Ines Boutabia is a researcher advancing the field of autonomous mobile robotics, with a focus on intelligent navigation and dynamic obstacle avoidance. Her work centers on developing novel computational algorithms that enable robots to plan safe, efficient paths in complex and changing environments. Boutabia’s key contributions include the introduction of the Intelligent Lights Algorithm for fuzzy navigation, which provides a robust framework for real-time decision-making. She has also pioneered a hybrid Bacterial Foraging Optimization (BFO) and Particle Swarm Optimization (PSO) algorithm, significantly enhancing a robot’s ability to avoid moving obstacles while optimizing route efficiency. Her most cited paper, “A Fuzzy Navigation Approach Using the Intelligent Lights Algorithm for an Autonomous Mobile Robot” (2023), has garnered 12 citations, with her subsequent 2024 work on the hybrid BFO/PSO approach already accumulating 7 citations. By integrating bio-inspired and swarm intelligence techniques, Boutabia is pushing the boundaries of autonomous systems, making her research highly relevant for students and engineers working on next-generation robotics, from warehouse logistics to search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
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- 2