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In this paper, we present a computer vision framework that controls robots to auto type on a mobile device such as an Android phone or an iPad. The framework consists of three parts: (i) an image undistortion and segmentation algorithm that supports images captured by a top mounted camera or a side mounted camera, (ii) a deep neural network (DNN) algorithm that detects the keyboard region and recognizes isolated characters from an input image, and (iii) a grid click algorithm to construct datadoi:10.1109/icce46568.2020.9043107 dblp:conf/iccel/LiuGCFL20 fatcat:k3xbvsrsf5athksfltxpua64uy