Abstract | ||
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In this paper we aim to discuss adaptive flocking control of multiple Unmanned Ground Vehicles (UGVs) by using an Unmanned Aerial Vehicle (UAV). We utilize a Quadrotor to provide the positions of all agents and also to manage the shrinking or expanding of the agents with respect to the environmental changes. The proposed method adaptively causes changing in the sensing range of the ground robots as the quadrotor attitude changes. The simulation results show the effectiveness of proposed method. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/978-3-319-27863-6_58 | ADVANCES IN VISUAL COMPUTING, PT II (ISVC 2015) |
Keywords | Field | DocType |
Hybrid system,Multi-agent,Flocking control,UAVs,UGVs | Computer vision,Flocking (texture),Computer science,Real-time computing,Artificial intelligence,Ground vehicles,Robot,Hybrid system | Conference |
Volume | ISSN | Citations |
9475 | 0302-9743 | 4 |
PageRank | References | Authors |
0.45 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammad Jafari | 1 | 32 | 6.11 |
Shamik Sengupta | 2 | 483 | 53.08 |
Hung Manh La | 3 | 344 | 36.19 |