Abstract
Tactile sensor array is the device that provides distributive information of force at the interface between the sensory surface and the object. Together with fine-form reconstruction and primitive recognition, it has to be the main feature of an artificial tactile system. The system presented here is based on the back propagation neural network model used to tactile pattern recognition. All the tactile data acquisition and processing model using a neural network model is programmed to realize the real-time and precise recognition of a contact force position, which enables the contact position of a constant force to be determined within accuracy. Experimental results show that the high level interpretation method for this system enables automatic determination of contact position and orientations in real time.
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Guo, B., Qin, L. (2009). Tactile Sensor Signal Processing with Artificial Neural Networks. In: Cao, By., Zhang, Cy., Li, Tf. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88914-4_8
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DOI: https://doi.org/10.1007/978-3-540-88914-4_8
Publisher Name: Springer, Berlin, Heidelberg
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