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MELFA Smart Plus integrates AI into Mitsubishi robots

MELFA Smart Plus integrates AI into Mitsubishi robots

Robot technologies continue to evolve and one of the most promising developments is the application of artificial intelligence (AI). We are already seeing some AI functions that affect robotics. For example, 3D vision sensing, where the adjustment time is significantly reduced by AI. The Accuracy of force detection is also improved by AI technology integrate with the force sensor.

Perhaps one of the Major trends in AI related to robotics are the improved predictive maintenance technologies. Machine learning algorithms provide even more insight into the operation of the machine, not only through the compare current performance with a predetermined baseline, but to continue making decisions on real-time data and trends from the past.

Mitsubishi introduces the "MELFA Smart Plus card package" and the "MELFA Smart Plus card" with improved predictive maintenance and improved force sensor features for enhanced functionality in the MELFA-FR series. The new features include Mitsubishi Electric's original compact AI technology, Maisart ® * 1, to achieve 60% reduction in both cycle time and to realize the system start-up time to contribute to a higher productivity at production sites.

1. *1Mitsubishi Electric's AI creates the State of the ART in technology

Product Features

1) Reduces downtime by to detect deviations in advance (predictive maintenance)

- The predictive maintenance function uses Maisart to provide early warnings of deviations in drive products * 2, which are built into robots, to detect and display provide, which helps reduce downtime.

- Highly accurate predictive maintenance is achieved by simply inserting the card into the robot controller, without adding any other device or sensor.

* 2 Gearbox, motor encoders and batteries to maintain the position information memory retain

2) Shortened cycle time with automatic parameter adjustment (improved force sensor)

- Maisart automatically adjusts the parameters on systems using force sensors * 3.

- The cycle time is reduced by 60% * 4 reduced compared to a conventional method due to the pressure exerted exerted on target objects to control, resulting in higher speed achieved comparable to that of skilled human hands.

* 3 Gearboxes, motor encoders and batteries to maintain position information memory

* 4Compared to the reference value for inserting connectors based on conditions that have been determined by Mitsubishi Electric

3) Shorter start-up time due to automatic program generation (improved force sensor)

- Start and end points for operation only need to be entered to automatically generate a program for the shortest possible operating time.

- Shortens system boot time by 60% * 4 compared to a conventional method.

Curious about this AI developments for your application. We would be happy to make an appointment to go into this in more depth.

Contact:

Robin Mol
info@engineeringshop.nl
0229-714212

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