Acquisition and Application of a Tactile Database
| Autor: | Matthias Schöpfer, Helge Ritter, Gunther Heidemann |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
Database
Artificial neural network Neural Networks Computer science business.industry Pattern Recognition computer.software_genre Object (computer science) law.invention tactile Tactile systems (nonbiological) Industrial robot law Pattern recognition (psychology) Robot tactile systems Object-based spatial database Computer vision Artificial intelligence Image databases business computer Tactile sensor |
| Zdroj: | ICRA |
| Popis: | We present a database of 2D pressure profile time series as a testbed for tactile object and surface recognition. The tactile database captures the surfaces of household and toy objects by moving a 2D pressure sensor mounted to an industrial robot arm around the objects using real-time trajectory calculation. Thus, it represents different "views" of the objects in a similar way as the well known Columbia Object Image Library (COIL) captures different views of an object by a camera. As a first application, objects in the database are classified using a neural network architecture. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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