The new AI technology achieves quick stepwise learning with the help of Maisart' reinforcement-learning capability, a significant improvement over conventional methods that require enormous learning time to test various content and their combinations. Mitsubishi Electric drew on its expertise in factory automation equipment, machine tools and autonomous-operation technology to refine its AI' reinforcement-learning capability, focusing on simplifying work-process learning step by step. Instead of attempting to learn everything at once, the company simplified learning contents and added simple, automatic stepwise learning for faster and more efficient learning. In-house testing found the time required for program creation3 is a mere one tenth4 that of manual processes.

To shorten the takt time (average time to produce one unit and begin work on the next unit) using production equipment such as industrial robots, skilled workers conventionally must make many adjustments to the production equipment. With Mitsubishi Electric' new AI, however, adjustments of route, speed, acceleration, etc. are performed automatically. Action is learned beforehand using a simulator, allowing the AI to make adjustments automatically to shorten the takt without using an image sensor. The result is productivity equal to or higher than that of equipment adjusted by a skilled worker.

Function Time required for adjustments
Developed technology Programming with AI 1/10th of conventional method
Conventional method Manual program creation 1

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Mitsubishi Electric Corporation published this content on 13 February 2019 and is solely responsible for the information contained herein. Distributed by Public, unedited and unaltered, on 13 February 2019 04:06:08 UTC