Hatem Ghodbane

Papers

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About

Hatem Ghodbane is a researcher specializing in intelligent control systems, mobile robotics, and fuzzy logic applications. His work focuses on developing advanced navigation and manipulation strategies for robotic systems, particularly through the integration of Takagi-Sugeno fuzzy models and multi-agent architectures. Ghodbane’s most cited paper, “Takagi-Sugeno Based Controller for Mobile Robot Navigation” (2006), has garnered 12 citations and presents a novel framework for enabling autonomous navigation using fuzzy control theory. In a subsequent study, “A Multi-Agent Approach Based on Fuzzy Logic For a Robot Manipulator” (2009), he proposed a method for modeling and controlling manipulator arms by leveraging fuzzy logic to handle the complex, numeric variables that define the robot’s evolution space. This work highlights his ability to combine theoretical rigor with practical robotic applications. Though his citation counts are modest, Ghodbane’s contributions are notable for their early adoption of fuzzy multi-agent systems in robotics, offering foundational insights for researchers exploring intelligent, adaptive control in unstructured environments. His research remains relevant for those advancing autonomous robotic systems.