Name
Abstract | ||
|---|---|---|
We report on the cooperative control of multiple neural networks for an indoor blimp robot. In our research group, the indoor
blimp robot has been studied to achieve various flying robot applications. The objective of this article is to propose a robust
controller that can adapt to mechanical accidents such as the breakdown of propellers. In our proposed method, each propeller
thrust is independently calculated by a small neural network. We confirm the advantage of the proposed method against the
control by a single large neural network. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s10015-008-0604-7 | Artificial Life and Robotics |
Keywords | DocType | Volume |
indoor blimp robot · neural network · coopera- tive control,neural network | Journal | 13 |
Issue | ISSN | Citations |
2 | 1614-7456 | 2 |
PageRank | References | Authors |
0.44 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hidenori Kawamura | 1 | 42 | 18.22 |
| Hiroyuki Iizuka | 2 | 138 | 25.73 |
| Toshihiko Takaya | 3 | 9 | 2.33 |
| Azuma Ohuchi | 4 | 386 | 68.99 |