PhD studentship: Allowing autonomous robots to continually learn, generalize, and improve from their experiences

A fully funded PhD studentship for 3.5 years starting in October 2026, focusing on autonomous robotics and AI. The project aims to develop algorithms that allow robots to continually improve their planning capabilities over time based on their experiences. The research extends recent work on automatic learning of planning strategies by abstracting successful planning experiences, enabling robots to make generalizable conclusions from individual experiences that can be adapted and reused in new contexts. The work involves theoretical, computational, and experimental aspects including research publication, open-source code development, and work with physical robots. Students will have access to state-of-the-art hardware and resources, excellent mentorship, and potential collaboration and internship opportunities with industry leaders such as NASA Robotics, Amazon Robotics, and Bosch. The project encompasses various research directions including application to new platforms and task types, multi-robot and human-robot collaborative systems, integration with machine learning and computer vision techniques, and improving trustworthiness through formal analysis.