 As a feasible solution to these issues, in this paper, we propose a new methodology to automatically deform elastic rods into 2D desired shapes . For that, we present an efficient vision-based controller that uses a deep autoencoder network  to compute a compact representation of the object's infinite dimensional shape.
<coherence>  As a feasible solution to these issues, in this paper, we propose a new methodology to automatically deform elastic rods into 2D desired shapes . For that, we present an efficient vision-based controller that uses a deep autoencoder network  to compute a compact representation of the object's infinite dimensional shape.
 As a feasible solution to these issues, in this paper, we propose a new methodology to automatically deform elastic rods into 2D desired shapes is presented. An efficient vision-based controller that uses a deep autoencoder network to compute a compact representation of the object's infinite dimensional shape.