Artificial Intelligence Specialist for Autonomous Systems – KTP Associate

By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs) to intelligently delegate tasks, plan activities, and coordinate actions with minimal message passing. The outcome will be a more efficient, resilient, and scalable AV system, reducing human intervention and improving operational efficiency.

This Knowledge Transfer Partnership (KTP) project aims to develop an advanced, decentralised software platform to optimise Aurrigo’s fleet management for airport baggage/cargo-handling autonomous vehicles. The project will transition operations from human-controlled systems to an autonomous command-and-control structure.