  The behaviours of a swarm are not explicitly engineered. Instead, they are an
emergent consequence of the interactions of individual agents with each other
and their environment. This emergent functionality poses a challenge to safety
assurance. The main contribution of this paper is a process for the safety
assurance of emergent behaviour in autonomous robotic swarms called AERoS,
following the guidance on the Assurance of Machine Learning for use in
Autonomous Systems (AMLAS). We explore our proposed process using a case study
centred on a robot swarm operating a public cloakroom.
