abstract
- In accordance to the International Federation of Robotics, a key concern of robotic installations is their energy efficiency. Motivated by this, this work presents the results of an energy consumption study of a collaborative robot UR10, in which the dependency of the trajectory programming parameters on the peak power and the total consumed energy per trajectory is analyzed. It was found that the total consumed energy per trajectory becomes lower when the limit speed is set as higher. Moreover, an ANN model was trained to predict the energy consumed by the robot when performing a movement under certain parameters. Experimental results demonstrate that the model is able to predict the consumed energy with a high accuracy. © © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)