Name
Abstract | ||
|---|---|---|
Robotic systems offer an attractive solution for a large spectrum of real-world applications that are hosted in dangerous or inaccessible areas for humans. In such applications, one of the fundamental tasks is to detect and mark particular features (e.g., pollution areas) in order to develop a proper response. In this paper, we focus on the specific problem of environmental edge detection using a swarm of homogeneous robots that can sense and act distributively using a large number of individuals. In our study, we consider both static and dynamic 2D environments, in which the spatial distribution of the feature(s) may change over time. We verify our results using a set of physics-based simulations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/SASO.2017.17 | 2017 IEEE 11th International Conference on Self-Adaptive and Self-Organizing Systems (SASO) |
Keywords | Field | DocType |
swarm robotics,edge detection,collective behavior | Robotic systems,Swarm behaviour,Computer science,Edge detection,Homogeneous,Feature extraction,Real-time computing,Graphical model,Robot,Distributed computing | Conference |
ISSN | ISBN | Citations |
1949-3673 | 978-1-5090-6556-1 | 2 |
PageRank | References | Authors |
0.39 | 12 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yara Khaluf | 1 | 42 | 8.79 |