LLM-Augmented Human-Swarm Collaboration for Embodied Multi-Agent Systems PhD

This PhD research opportunity explores innovative research in the development of human-centred embodied multi-agent systems that are able to compensate and augment human capabilities in challenging situations. The project aims to develop embodied AI systems that enhance human-swarm collaboration in time-critical tasks by integrating foundation models like large language models (LLMs) with physically embodied agents such as drones or vehicles. The research focuses on enabling adaptive, socially aware multi-agent systems, designing LLM-guided swarm behaviours that respond to human cognitive or emotional states, and creating natural interfaces for intuitive command and control. Candidates will have the flexibility to plan their research focus across various topics including human-centred and personalised foundation model development, multi-agent decision-making in autonomous systems, advanced perception, and cognitive human-machine interface that support human users. The project emphasizes human-centred AI by augmenting workload, improving situational awareness, and fostering trust through transparent communication. Students will work in world-class research labs with cutting-edge facilities at the Human-Machine-X Collaboration (HUMAX) lab at the advanced Aerospace Integration Research Centre (AIRC). They will have opportunities to collaborate with leading industrial partners including Airbus, Boeing, Rolls Royce, and JLR. Successful candidates will publish high-quality research papers and present their work at international conferences to build global networks with leaders in academia and industry.