Alexandre Abellard

Papers

Total Citations

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About

Alexandre Abellard’s research centers on intelligent control systems for mobile robotics, with a particular focus on trajectory tracking and non-holonomic vehicle navigation. His work bridges fuzzy logic, visual servoing, and predictor-observer design to address real-world challenges in autonomous motion. In his most cited paper (2012, 5 citations), Abellard introduced an experimental fuzzy visual control architecture for the Khepera II robot, where an overhead camera provides real-time position feedback to guide trajectory tracking in a supervised workspace. This approach demonstrates a practical fusion of computer vision and fuzzy decision-making for low-cost platforms. His second highly cited work (2011, 4 citations) tackles a more theoretical challenge: compensating for constant measurement delays in non-holonomic vehicles using a Takagi-Sugeno fuzzy predictor-observer and Parallel Distributed Compensation (PDC) control. By rewriting the kinematic error model, Abellard’s method ensures robust tracking even when sensor feedback is delayed—a critical issue in real-world robotics. Though his citation counts are modest, these contributions are notable for their clarity and direct applicability to educational and experimental robotics, offering students and researchers accessible frameworks for integrating fuzzy logic, delay compensation, and visual feedback in autonomous navigation.