Selected research and technology projects connected to MediSea Robotics. The list below is non-exhaustive and tracks programmes that feed into current proposals in multi-agent AI, knowledge integration, explainable AI, and evolutionary robotics.
Digital4Business
Design and development of a multi-agent AI advisor system for enterprise users, combining retrieval-augmented generation (RAG) with multi-agent architecture to improve the performance, reliability, and contextual relevance of large language models in specialised application domains.
Marie Sklodowska-Curie Actions (MSCA)
Development of a bio-inspired knowledge integration framework to support the study of complexity and enhance the capabilities of AI systems in real-world IoT environments. Full ownership of conceptual design, proposal development, and implementation.
ERC Advanced Grant
Investigates the role of gene and whole-genome duplications in shaping the evolution of complexity, adaptability, and innovation in natural and artificial organism populations. Contribution focused on a large-scale multi-agent simulation framework for modelling evolutionary processes in artificial populations.
FP7
Advanced bio-inspired, symbiotic robotic systems capable of forming adaptive, self-organising robotic organisms. Contribution focused on a control system based on swarm intelligence and self-organisation principles enabling large populations of robotic agents to coordinate behaviour in a fully distributed manner.
Intelligent assistant systems based on explainable AI (XAI). Introduces a knowledge-centric framework for orchestrating multiple AI agents tailored to enterprise-level applications, underpinned by structured and dynamically evolving knowledge bases.