Name
Abstract | ||
|---|---|---|
Swarm robotics is a branch of collective robotics systems that offers a set of remarkable advantages over other systems. The global behavior of swarm systems emerges from the local rules implemented at the individual level. Therefore, characterizing a global performance obtained at the swarm level is one of the main challenges, especially under complex dynamics such as spatial interferences. In this paper, we exploit the central limit theorem to analyze and characterize the swarm performance over long-term deadlines. The developed model is verified on two tasks: a foraging task and an object filtering task. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s00500-015-1958-0 | Soft Comput. |
Keywords | Field | DocType |
Swarm robotics, Time-constrained tasks, Central limit theorem | Complex dynamics,Mathematical optimization,Swarm behaviour,Computer science,Ant robotics,Filter (signal processing),Exploit,Multi-swarm optimization,Artificial intelligence,Robotics,Swarm robotics | Journal |
Volume | Issue | ISSN |
20 | 1 | 1433-7479 |
Citations | PageRank | References |
2 | 0.38 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yara Khaluf | 1 | 42 | 8.79 |
| Mauro Birattari | 2 | 2021 | 146.61 |
| Franz-Josef Rammig | 3 | 167 | 23.04 |