Ibrahim Habli

Dec 9, 2024 | arxiv.org | Yan Jia |Ibrahim Habli

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Sep 14, 2023 | link.springer.com | Dhaminda B. Abeywickrama |James WIlson |James Wilson |Suet Lee |Greg Chance |Peter Winter | +5 more

AbstractThe 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).