LEARNING
Acquisition and Application of a Tactile Database
Matthias Schöpfer, Helge Ritter, Gunther Heidemann
- 发表年份
- 2007
- 引用次数
- 23
摘要
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.
关键词
Object (grammar)Computer scienceArtificial intelligenceComputer visionTactile sensorTrajectoryTestbedRobotArtificial neural networkCognitive neuroscience of visual object recognition
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