Yaskawa Corporation has created an industrial robot with artificial intelligence. The robot determines the colour and shape of the object before transporting it to its proper location. Yaskawa is adapting to the changing needs of different industries, including the automotive industry and parts production.
Due to the influence of the Corona pandemic, “touching” has become impossible in today’s manufacturing industry. The issue also includes labour shortages. Advanced professionals are retiring and their knowledge and skills cannot be passed on to the next generation. We want advancement. Yoshimitsu Sonohara, an official at Yaskawa Electric, said: “We need a multi-product manufacturing solution instead of basic mass production”.
A presentation demonstrating Yaskawa’s latest technology attracted interest at the industrial robot exhibition in Tokyo in March.
Yaskawa is proposing the “i3 (i-cube) Mechatronics” solution concept to generate a new innovation in industrial automation. “Integrated, intelligent and innovative” is what i3 stands for.
We will link the equipment and devices in the manufacturing cells and systems (equipment, etc.) to the IT layer, allowing data to be visualised in a unified way. The collected data will be analysed intelligently and used to its fullest potential. We will upgrade the equipment in use and maintain production quality.
Robots in various jobs perform admirably throughout the presentation. Each robot is autonomous and possesses artificial intelligence. The master robot provides each robot with clear instructions on a working environment.
The robots also communicate with each other to function more independently and effectively.
The next robot does not coexist with humans, but works alone and improves its process and functionality by combining data. Yoshimitsu Sonohara, an official of Yaskawa Electric, stated; “We believe that the concept of” i3 (i-cube) Mechatronics “will be applied to production all over the world”.
i³-Mechatronics is a response to the IoT and Industry 4.0 trend. Our business has been good at automating “cells”, which are the unit of the factory production line.
It will be possible to create learning data in the simulator closer to the real world and to pick hard and soft objects with the same hand, thanks to artificial intelligence technology. Because the AI generation process can be completed in the simulator, the time from input to actual operation, including AI development, is significantly reduced and the accuracy of equipment input can be improved.
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