Robot swarms offer innovative solutions to modern challenges like large-area rescue and fire control. To scale without overwhelming communication channels, they must operate in a decentralized manner, relying on local interactions to achieve global goals. This raises a key question: what are the global effects of local errors, such as distance mismatches or data dropouts? Indeed, minor issues can escalate, leading to unintended and potentially harmful emergent behaviours. In this seminar, we’ll explore how to understand and potentially harness these, in principle unintended, emergent behaviours to improve swarm performance.
About the speaker
Bosco Román earned his B.Sc. in Physics from the Complutense University of Madrid in 2024. He is currently working as a research assistant in the Swarm Systems Lab (ERC grant) at the University of Granada. His research is hosted by the Institute of Mathematics of Granada and supervised by Héctor García de Marina.
