In the initial years of my academic journey, my research was dedicated to exploring learning-based methods for the sensing and manipulation of deformable linear objects. During this period, my efforts were concentrated on developing solutions for training data-driven algorithms that required minimal human intervention.
More recently, my research trajectory has shifted towards exploring energy-based approaches in robot learning. This change reflects my interest in delving deeper into novel methodologies that enable robots to transition from controlled industrial environments to unstructured settings. The objective is to ensure stable and safe execution of complex tasks where robots coexist with other robots or possibly humans.