2015
Neural network based model for visual-motor integration learning of robot's drawing behavior: Association of a drawing motion from a drawn image
IROS 2015poster
In this study, we propose a neural network based model for learning a robot's drawing sequences in an unsupervised manner. We focus on the ability to learn visual-motor relationships, which can work as a reusable memory in association of drawing motion from a picture image. Assuming that a humanoid…