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Mitsubishi Electric > Case Studies > Mitsubishi Electric’s Fast Stepwise-learning AI Shortens Motion Learning
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Mitsubishi Electric’s Fast Stepwise-learning AI Shortens Motion Learning

 Mitsubishi Electric’s Fast Stepwise-learning AI Shortens Motion Learning - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Machine Learning
Applicable Functions
  • Discrete Manufacturing
Use Cases
  • Manufacturing System Automation
  • Software Design & Engineering Services
The Challenge

Due to declining workforces in ageing societies such as Japan, securing sufficient human resources is becoming increasingly difficult, which in turn is raising the demand for AI that can support efficient mechanized operations. New production facilities, however, present special challenges due to differences in pre-learned and actual shop environments, resulting in huge amounts of time devoted to teaching AI before it can be implemented on a full scale.

The Solution

Mitsubishi Electric’s new AI automatically creates control programs for actual environments after short learning to support optimized operations.

Mitsubishi Electric has developed an artificial intelligence (AI) technology capable of fast stepwise learning using a simulator to efficiently complete motion learning in a relatively short time. The new technology combines the company’s latest proprietary Maisart compact AI technology and reinforcement learning, which enables machines to explore optimal actions through highly efficient trial and error. Supported with the company’s smart-control AI technology that adapts rapidly and nimbly to changing conditions, the new AI technology learns and responds to changes in actual environments in real-time to enable smooth machine operation.

Operational Impact
  • [Efficiency Improvement - Productivity]

    Productivity is equal to or higher than that of equipment adjusted by a skilled worker.

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