Name
Abstract | ||
|---|---|---|
This paper addresses the problem of automated multiagent search in an unknown environment. Autonomous agents equipped with sensors carry out a search operation in a search space, where the uncertainty, or lack of information about the environment, is known a priori as an uncertainty density distribution function. The agents are deployed in the search space to maximize single step search effectiven... |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/TASE.2010.2072920 | IEEE Transactions on Automation Science and Engineering |
Keywords | Field | DocType |
Uncertainty,Sensors,Search problems,Trajectory,Aerospace electronics,Convergence,Euclidean distance | Convergence (routing),Autonomous agent,Mathematical optimization,Computer science,Euclidean distance,A priori and a posteriori,Computational geometry,Beam search,Voronoi diagram,Trajectory | Journal |
Volume | Issue | ISSN |
8 | 2 | 1545-5955 |
Citations | PageRank | References |
9 | 0.53 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. R. Guruprasad | 1 | 53 | 7.99 |
| Debasish Ghose | 2 | 777 | 71.57 |