Giovanni Claudio

Centre Inria de l'Université de Rennes, Institut de Recherche en Informatique et Systèmes Aléatoires

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About

Giovanni Claudio’s research lies at the intersection of visual servoing, whole-body control, and humanoid robotics, with a focus on enabling dexterous, vision-guided manipulation. His most cited work, “Visual Servoing in an Optimization Framework for the Whole-Body Control of Humanoid Robots” (58 citations), introduces a groundbreaking formulation of visual servoing as an acceleration-resolved quadratic optimization problem. This approach allows robots to handle critical visual constraints—such as maintaining field of view and avoiding occlusions—as inequalities, seamlessly integrating vision tasks into whole-body control. Claudio further demonstrated the practical impact of his methods in “Vision-based manipulation with the humanoid robot Romeo” (19 citations), showing how closed-loop visual servoing, combined with gaze control, enables highly repeatable one- and two-handed manipulation tasks without the need for precise pre-programmed trajectories. His work on the Romeo platform, including dual-arm manipulation studies, underscores his commitment to advancing humanoid autonomy. Beyond core research, Claudio contributed to the robotics community by developing an interface between Matlab/Simulink and the V-REP simulator, facilitating the rapid prototyping of sensor-based control algorithms. With a career defined by integrating vision and control, Giovanni Claudio has laid essential groundwork for humanoid robots that can perceive and interact with their environment robustly.