Object recognition based on depth information and associative memory

Steady improvement of robotic systems due to developments in the realm of sensing the world enables advances towards human-robot-cooperation. In order for the robot to be reactive in its environment objects need to be identified. In this paper an approach is presented which allows identification of objects in the working area of an industrial robot. Neural Networks are used as associative memory to learn new items and efficiently recognize learned objects.