Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Human-Computer Interaction | Human control,Multidisciplinary approach,Swarm behaviour,Adaptive system,Computer science,Human–computer interaction,Ranging,Robot |
DocType | Volume | Citations |
Journal | abs/1803.03093 | 0 |
PageRank | References | Authors |
0.34 | 17 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aya Hussein | 1 | 1 | 2.03 |
| Leo Ghignone | 2 | 7 | 1.27 |
| Tung Nguyen | 3 | 0 | 1.01 |
| Nima Salimi | 4 | 84 | 5.76 |
| Hung Nguyen | 5 | 4 | 5.95 |
| Min Wang | 6 | 7 | 3.80 |
| Hussein A. Abbass | 7 | 1503 | 144.85 |