Name
Abstract | ||
|---|---|---|
In this article, we build upon a multiagent architecture for landmark-based navigation in unknown environments. In this architecture, each of the agents in the navigation system has a bidding function that is controlled by a set of parameters. We show here the good results obtained by an evolutionary approach that tunes the parameter set values for two navigation tasks. (c) 2005 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1002/int.20079 | INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
multiagent systems,evolultiv e computation,robotics,artificial intelligence | Evolutionary algorithm,Navigation system,Multi-agent system,Artificial intelligence,Mobile robot navigation,Systems architecture,Robot,Landmark,Mathematics,Robotics | Journal |
Volume | Issue | ISSN |
20 | 5 | 0884-8173 |
Citations | PageRank | References |
5 | 0.72 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Madhur Ambastha | 1 | 5 | 0.72 |
| Dídac Busquets | 2 | 173 | 19.27 |
| Ramon Lopez de Mantaras | 3 | 706 | 52.40 |
| Carles Sierra | 4 | 5101 | 454.99 |