Name
Abstract | ||
|---|---|---|
The CNN wave based computation is an approach for real time robot navigation in a complex environment based on the idea of considering the environment in which the robot moves as an excitable medium. Obstacles represent the sources of autowave generation. The waveform propagating in the CNN medium provide to the robot all the information to achieve an adaptive motion avoiding the obstacles. In this paper we implement entirely this strategy on the ACE16K CNN-chip. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISCAS.2005.1465961 | ISCAS (6) |
Keywords | Field | DocType |
cellular neural nets,collision avoidance,mobile robots,navigation,neural chips,real-time systems,robot vision,ACE16K,ACE16K CNN-chip,CNN wave based computation,adaptive motion,autowave generation,obstacle avoidance,real time robot navigation,robot navigation | Obstacle avoidance,Motion planning,Computer vision,Excitable medium,Computer science,Autowave,Artificial intelligence,Mobile robot navigation,Robot,Cellular neural network,Mobile robot | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-8834-8 | 3 |
PageRank | References | Authors |
0.49 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paolo Arena | 1 | 261 | 47.43 |
| Fortuna, L. | 2 | 12 | 7.61 |
| M. Frasca | 3 | 46 | 8.05 |
| Vagliasindi, G. | 4 | 5 | 0.85 |