Rule-based one-shot object tracking for NC-robots under consideration of energy consumption

In order to become climate neutral, significant energy savings must be achieved in European factories while preserving the economic strength. Simultaneously, new technologies are needed to enable the transition from mass production to mass customization. Cognitive robotics is a key component of this proposition to recognize the environment and dynamically adapt manufacturing behavior. The present paper discusses and evaluates a developed position control for tracking operation of NC-robots based on 2D image processing using ECC algorithm. This approach based on one-shot learning in combination with continuous movement of NC-robots allows to reduce cycle time, respectively energy consumption. Finally, the benefits of the proposed solutions are extended to on-the-fly assembly processes.