Elisa Alboni is a PhD Candidate in Material, Mechatronics, and Systems Engineering at the University of Trento. Her research focuses on combining Reinforcement Learning and Trajectory Optimization to overcome their limitations, with an emphasis on efficiency and safety. In the future, she aims to leverage these methods for real-world robotic applications, ensuring that robotic systems can safely and effectively operate in dynamic, unpredictable environments.