Using Edge Computing in Improving the Performance of Machining Robots

Optimizing energy consumption in industrial robots can reduce operating costs, improve performance, and extend the life of the robot during manufacturing. In recent years, with the progress of science and technology, new technologies such as cloud computing, big data, etc. have continuously emerged, and in particular, cloud computing technology has been used in robot research that improves the real-time performance of the designed robot. It can also provide high energy efficiency, low cost, etc. One of the most important aspects of this technology is its use in continuous monitoring of robots' performance, which can guarantee its optimal performance. In this research, first, an overview of the methods of reducing energy consumption is presented, and then the effectiveness of using edge computing technology in reducing energy is analyzed. For this purpose, the use of algorithms to optimize the performance of the robot, including its trajectory and working times, is controlled by the edge. The results of the simulations show that the energy consumption can be significantly reduced by using edge technology.