Name
Title | ||
|---|---|---|
A sensing system for an autonomous mobile robot based on the paraconsistent artificial neural network |
Abstract | ||
|---|---|---|
This paper shows a sensing system for an autonomous mobile robot. The Sensing System is based on the Paraconsistent Neural Network. The type of artificial neural network used in this work is based on the Paraconsistent Evidential Logic - Eτ. The objective of the Sensing System is to inform the other robot components the position where there is an obstacle. The reached results have been satisfactory. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15393-8_18 | KES (3) |
Keywords | Field | DocType |
paraconsistent artificial neural network,autonomous mobile robot,paraconsistent evidential logic,artificial neural network,sensing system,robot component,paraconsistent neural network,neural network | Obstacle,Sensing system,Robotic sensing,Paraconsistent logic,Computer science,Artificial intelligence,Robot,Artificial neural network,Mobile robot | Conference |
Volume | ISSN | ISBN |
6278 | 0302-9743 | 3-642-15392-5 |
Citations | PageRank | References |
1 | 0.43 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claudio Rodrigo Torres | 1 | 1 | 0.43 |
| Jair Minoro Abe | 2 | 150 | 39.66 |
| Germano Lambert-torres | 3 | 59 | 19.17 |
| João Inácio Da Silva Filho | 4 | 17 | 7.49 |
| Helga Gonzaga Martins | 5 | 18 | 7.63 |