Name
Abstract | ||
|---|---|---|
Insects use their antennae (feelers) as near-range sensors for orientation, object localization and communication. This paper presents further developments for an approach for an active tactile sensor system. This includes a hardware construction as well as a software implementation for interpreting the sensor readings. The discussed tactile sensor is able to detect an obstacle and its location. Furthermore the material properties of the obstacles are classified by application of neural networks. The focus of this paper lies in the development of a method which allows to determine automatically the part of the input data which is actually needed to fulfill the classification task. For that, non-negative matrix factorization is evaluated by quantifying the trade-off between classification accuracy and input (and network) dimension. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-25489-5_3 | ICIRA |
Keywords | Field | DocType |
input data,classification task,neural network,hardware construction,tactile sensor,near-range sensor,classification accuracy,material property,bio-inspired tactile sensor system,sensor reading,active tactile sensor system | Obstacle,Computer vision,Material classification,Dimensionality reduction,Matrix decomposition,Fast Fourier transform,Artificial intelligence,Engineering,Artificial neural network,Software implementation,Tactile sensor | Conference |
Volume | ISSN | Citations |
7102 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sven Hellbach | 1 | 63 | 9.77 |
| Marc Otto | 2 | 1 | 0.37 |
| Volker Dürr | 3 | 54 | 10.19 |