Michele Taragna

Papers

Total Citations

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About

Michele Taragna is a distinguished researcher in the fields of control systems, sensor fusion, and robotics, with a particular focus on enhancing the autonomy and precision of mobile manipulators. His major contributions lie in the development of advanced estimation algorithms that integrate data from multiple sensor modalities to achieve robust state estimation. Notably, his work on "Kalman Filter Based Sensor Fusion for a Mobile Manipulator" demonstrates a practical application of Extended Kalman Filter techniques, combining visual-inertial sensor suites—such as Optitrack motion capture systems and MEMS IMUs—to achieve high-fidelity end-effector tracking. While his most cited paper has garnered 4 citations, its impact is significant within the niche of sensor fusion for robotic systems, serving as a foundational reference for researchers exploring real-time localization and control in dynamic environments. Taragna’s work is characterized by a rigorous engineering approach, bridging theoretical estimation methods with tangible robotic applications. His research continues to influence the design of intelligent, sensor-driven autonomous systems, making him a valuable contributor to the robotics and control communities.