Swarm systems consist of large numbers of robots that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts ranging from search-and-rescue situations to Cyber defence. The two decision making cycles of swarms and humans operate on two different time-scales, where the former is normally orders of magnitude faster than the latter. Closing the loop at the intersection of these two cycles will create fast and adaptive human-swarm teaming networks. This paper brings desperate pieces of the ground work in this research area together to review this multidisciplinary literature. We conclude with a framework to synthesize the findings and summarize the multi-modal indicators needed for closed-loop human-swarm adaptive systems.
@article{arxiv.1803.03093,
title = {Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey},
author = {Aya Hussein and Leo Ghignone and Tung Nguyen and Nima Salimi and Hung Nguyen and Min Wang and Hussein A. Abbass},
journal= {arXiv preprint arXiv:1803.03093},
year = {2018}
}