Name
Title | ||
|---|---|---|
Collective self-detection scheme for adaptive error detection in a foraging swarm of robots |
Abstract | ||
|---|---|---|
In this paper we present a collective detection scheme using receptor density algorithm to self-detect certain types of failure in swarm robotic systems. Key to any fault-tolerant system, is its ability to be robust to failure and have appropriate mechanisms to cope with a variety of such failures. In this work we present an error detection scheme based on T-cell signalling in which robots in a swarm collaborate by exchanging information with respect to performance on a given task, and self-detect errors within an individual. While this study is focused on deployment in a swarm robotic context, it is possible that our approach could possibly be generalized to a wider variety of multi-agent systems. |
Year | Venue | Keywords |
|---|---|---|
2011 | ICARIS | collective detection scheme,wider variety,adaptive error detection,collective self-detection scheme,error detection scheme,t-cell signalling,appropriate mechanism,swarm robotic context,fault-tolerant system,swarm robotic system,foraging swarm,certain type,self-detect error,error detection,swarm robotics |
Field | DocType | Citations |
Software deployment,Signalling,Swarm behaviour,Computer science,Ant robotics,Error detection and correction,Artificial intelligence,Robot,Machine learning,Foraging,Swarm robotics | Conference | 2 |
PageRank | References | Authors |
0.39 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| HuiKeng Lau | 1 | 23 | 5.43 |
| Jon Timmis | 2 | 1237 | 120.32 |
| Iain Bate | 3 | 469 | 58.87 |