Sketch Recognition Library Applied for an Image Replication with a Humanoid Robot in a Simulated Environment

Abstract

Sketches have been one of the most ancient techniques used by humans to portray their ideas and thoughts. Replicating this ability would help us to better understand the way in which human beings obtain their capabilities. In this work, we implemented an architecture using convolutional neural networks capable of transforming an image to a sequence of strokes to be replicated by a Poppy humanoid robot using inverse kinematic to reproduce the sketches.