Giulia Giordano

University of Udine, University of Trento

Papers

Total Citations

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About

Giulia Giordano is a rising star in the field of robotic control, with her research focusing on the intersection of kinematic control, visual servoing, and model-free automation. Her most significant contribution lies in pioneering control strategies that eliminate the need for complex system models or precise calibration. Her 2015 work on inverse kinematics introduced a novel convex programming approach for redundant manipulators, treating joints as point masses in a fictitious gravity field—a method that has garnered 7 citations and laid the groundwork for her later innovations. Giordano’s recent breakthroughs are particularly noteworthy: in 2024, she developed a model-free kinematic control framework for robotic systems (6 citations), and in 2025, she advanced position-based visual servo control that operates without hand-eye calibration (4 citations). Her 2023 work on model-free cable robot control, which requires only rough knowledge of motor locations, demonstrates her commitment to practical, accessible robotics. With a growing citation impact and a trajectory focused on simplifying complex robotic tasks, Giordano is establishing herself as a key innovator in making robotic systems more adaptable and easier to deploy in real-world environments.