In this paper we will present the result of a set of experiments in which a robotic arm with a two-fingered hand is evolved for the ability to grasp objects. The robot is controlled by a neural network controller. Preliminary results demonstrate that evolutionary robotics techniques might scale up to situations involving robots with several degrees of freedom and problems that require an ability to produce sequential behaviour.
展开▼
