Abstract
A pattern is the description of an object that is sensed by appropriate hardware to form a useful data set, which in turn can be processed by a computer. In this paper, we concentrate on a class of patterns arising from geometrical figure approximations as encountered in robotics applications. A wide assortment of devices and systems exists today for data sensing of the environment in the robotics world. Generally speaking, we can classify them into two major classes: non-contact sensing and contact sensing. Non-contact sensing includes optical, sonic, ultrasonic, and magnetic ranging. Contact sensing is the area of tactile sensing with which this research is primarily concerned. A suitable definition of tactile sensing is expressed as continuously variable touch sensing over an array with a certain spatial resolution.
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© 1984 Springer-Verlag Berlin Heidelberg
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Ma, KK., Wang, P.P., Rebman, J. (1984). Automatic Recognition of Low Resolution Tactile Sensing Data Using Rapid Transformation. In: Brady, M., Gerhardt, L.A., Davidson, H.F. (eds) Robotics and Artificial Intelligence. NATO ASI Series, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82153-0_6
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DOI: https://doi.org/10.1007/978-3-642-82153-0_6
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