My research focuses on Artificial Intelligence and cognitive robotics to develop intelligent, adaptive, and human-aware autonomous systems capable of operating in complex real-world environments. My work integrates planning, knowledge representation, perception, and decision-making into unified cognitive architectures that enable robots to interact safely and effectively with people. A major contribution of my research has been the advancement of timeline-based planning and human-aware task and motion planning, extending these approaches to uncertain and dynamic domains. These methods have been applied to collaborative robotics, tele-rehabilitation, assistive technologies, and industrial automation through the open-source PLATINUm framework, contributing to technologies validated in both clinical and industrial settings.Over the years, I have played key roles in several European and international research projects, including Horizon Europe, H2020, AAL, ESA, and national initiatives, contributing to the design of cognitive architectures and AI-based decision systems for advanced robotic demonstrators. My research combines symbolic reasoning, learning, and human-centered interaction models to create robots that can adapt to user preferences, intentions, and social contexts. Current research directions focus on hybrid dual-process cognitive architectures, socially aware human–robot interaction, and high-impact applications in healthcare, smart assistance, and collaborative manufacturing.