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A system that can be trained to recognize and localize glassware located on a workbench using laser range images is described. The training data consists of laser range images of objects of known classification. The image is preprocessed to isolate a box of pixels corresponding to the object, and then the box is given as an input to a neural network. The range readings from the laser range system...
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