This research develops a distributed multi-robot task allocation framework that enables autonomous robots to estimate tasks, share information, coordinate assignments, and avoid collisions without relying on a central server. The approach improves efficiency, scalability, and resilience, with applications in emergency response, particularly supporting firefighters during life-saving operations.

The speaker develops a decentralised communication framework for collaborative robots (cobots). By removing the central server and enabling robots to communicate directly through estimating unknown variables, the system reduces cost, time, and memory use. This foundation supports efficient task allocation for applications like delivery and firefighting.