Abstract
We present a database of 2D pressure profile timeseries 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. © 2007 IEEE.
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Schöpfer, M., Ritter, H., & Heidemann, G. (2007). Acquisition and application of a tactile database. In Proceedings - IEEE International Conference on Robotics and Automation (pp. 1517–1522). https://doi.org/10.1109/ROBOT.2007.363539
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