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About

Habiba Batti is a researcher specializing in autonomous mobile robotics, with a particular focus on intelligent navigation systems and obstacle avoidance strategies. Her work sits at the intersection of artificial intelligence and robotics, leveraging advanced computational approaches — most notably fuzzy logic and neuro-fuzzy systems — to address the complex challenges of robot path planning and maze navigation in dynamic environments. Batti's most significant contribution, her 2020 paper on autonomous smart robots using fuzzy and neuro-fuzzy approaches, has garnered 17 citations and stands as her most impactful work to date. This study rigorously investigated advanced guidance techniques for non-holonomic mobile robots, with broad applicability across industrial, agricultural, and military domains. Building on this foundation, her earlier 2019 publications explored fuzzy logic controllers for obstacle avoidance in labyrinth environments, further cementing her expertise in intelligent control systems. Throughout her career, Batti has consistently demonstrated a commitment to making autonomous robots more capable and reliable in real-world, unpredictable settings. Her cumulative body of work, spanning from foundational fuzzy logic designs to more sophisticated neuro-fuzzy architectures, positions her as a dedicated contributor to the growing field of intelligent autonomous systems research.