Dr Olga Napolitano | Kingston University London

My research interests lie in motion planning and control for mobile robots operating under uncertainty, with a particular focus on active sensing and learning-based control. I develop active sensing strategies that embed information-driven decision-making into the control loop, using information-theoretic metrics (such as state constructability and reachability measures) to design controllers that balance task performance with the need to acquire informative data in uncertain or partially observable environments. More broadly, I am interested in hybrid approaches that combine model-based control with reinforcement learning and learning-based prediction to improve perception, adaptability, and robustness of robotic systems in dynamic, real-world scenarios.