Name
Abstract | ||
|---|---|---|
This paper presents a distributed control algorithm to drive a group of robots to spread out over an environment and provide adaptive sensor coverage of that environment. The robots use an online learning mechanism to estimate the areas in the environment that require more concentrated sensor coverage, while simultaneously providing this coverage. The algorithm differs from previous approaches in ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TCNS.2015.2512326 | IEEE Transactions on Control of Network Systems |
Keywords | Field | DocType |
Robot sensing systems,Robot kinematics,Approximation algorithms,Robustness,Approximation methods | Mesh networking,Approximation algorithm,Control theory,Mathematical optimization,Robotic sensing,Control theory,Computer science,Robot kinematics,Robustness (computer science),Robot,Wireless sensor network | Journal |
Volume | Issue | ISSN |
4 | 3 | 2325-5870 |
Citations | PageRank | References |
8 | 0.48 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mac Schwager | 1 | 930 | 72.33 |
| Michael P. Vitus | 2 | 264 | 20.08 |
| Samantha Powers | 3 | 8 | 0.48 |
| Daniela Rus | 4 | 7128 | 657.33 |
| Claire J. Tomlin | 5 | 1491 | 158.05 |