{"id":39996,"date":"2026-03-31T15:04:00","date_gmt":"2026-03-31T13:04:00","guid":{"rendered":"https:\/\/fhi.nl\/nieuws\/gebruikers-van-robots-kunnen-profiteren-van-kunstmatige-intelligentie\/"},"modified":"2026-04-01T14:15:16","modified_gmt":"2026-04-01T12:15:16","slug":"gebruikers-van-robots-kunnen-profiteren-van-kunstmatige-intelligentie","status":"publish","type":"news","link":"https:\/\/fhi.nl\/en\/news\/gebruikers-van-robots-kunnen-profiteren-van-kunstmatige-intelligentie\/","title":{"rendered":"Users of robots can benefit from artificial intelligence"},"content":{"rendered":"
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\n\t\t\t\t\tUsers of robots can benefit from artificial intelligence\t\t\t\t<\/h1>\n\n\t\t\t\t
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From voice control to the implementation of 3D vision: the pace of developments in robotics is increasing rapidly. Perhaps the most important trend at the moment is the embedding of artificial intelligence in regular robot systems. This provides a range of new possibilities, such as realizing the full potential of predictive and even prescriptive maintenance.<\/strong><\/p>

Oliver Giertz, EMEA Product Manager for Servo\/Motion and Robotics at Mitsubishi Electric Europe BV, describes the key benefits of applying artificial intelligence in robots.<\/em><\/p>

Within the evolving robotic technologies, the application of artificial intelligence (AI) is one of the most promising. We are already seeing a number of AI functions that make a difference in robots. An example of this is sensor technology based on 3D vision, where the application of AI significantly reduces adjustment times. Another example is more precise force detection by integrating AI technology into the force sensor.<\/p>

One of the most important AI trends in robotics is the implementation of improved predictive maintenance technologies. A recently published report by Frost & Sullivan estimates the annual costs of unplanned downtime in industrial production at 45 billion euros. About 42% of that damage was mainly caused by defects in the factory equipment. The damage does not only concern the costs of lost production. To get production going again as quickly as possible, unplanned downtime forces a reactive and costly approach to maintenance, repair and replacement of equipment.<\/p>

Unplanned downtime can be overcome through predictive maintenance, which provides the user with early warning of defective or poorly functioning components. Based on this information, service teams can perform maintenance well in advance, reducing unplanned downtime and reducing planned downtime. This is just as relevant for robots as for other parts of the production line. For example, periodic maintenance is required on the various servo connections of the robot to ensure long-term reliable operation.<\/p>

These predictive maintenance technologies can be significantly improved with AI, with machine learning algorithms providing even greater insight into machine operation. This not only compares current performance to a predefined baseline, but also takes real-time data and historical trends into account when making decisions.<\/p>

A good example of AI-based predictive maintenance in daily practice is the MELFA Smart Plus function<\/a>, which is available within the latest robot series from Mitsubishi Electric. This integrated technology accurately monitors the time that each of the key robot components is in motion and establishes maintenance schedules based on current operating conditions. The Smart Plus function also offers simulation capabilities to predict the robot's lifespan and estimate annual maintenance costs during the application design phase. This gives engineers the ability to extend the robot's lifespan, for example, by adjusting the robot's operation.<\/p>

The latest industrial robot to benefit from Smart Plus technology is the MELFA RV-8CRL<\/a> from Mitsubishi Electric. This cost-effective yet high-quality robot has been developed from the ground up to keep maintenance to a minimum. For example, it is equipped with a beltless coaxial drive mechanism, which is less likely to cause wear. The robot also uses Mitsubishi Electric's latest servo motors, eliminating the need for batteries for the robot's internal encoder. Combining these advanced design features with AI-based predictive maintenance can significantly increase availability by reducing both planned and unplanned downtime.<\/p>

There is much more to be achieved with AI-based predictive maintenance and the further application of artificial intelligence in robots. With its process optimization capabilities, which offer enormous potential to improve the productivity and availability of robotic systems and other systems in the surrounding production environment, this is a core technology for Mitsubishi Electric.<\/p>

Mitsubishi Electric recognizes the strategic importance of the technology and develops AI systems under its own brand 'Maisart<\/a>\u2019', which is an acronym for 'Mitsubishi Electric's AI creates the State-of-the-ART in technology'. With this, Mitsubishi Electric aims to enable companies to get the most out of AI.<\/p>\t\t<\/div>\n\t<\/div>\n<\/div>\r\n\t

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\n\t\t\t\tMarch 14, 2019\t\t\t<\/div>\n\t\t\t<\/div>\n<\/a>\n\t\t\t<\/div>\r\n\t\t<\/div>\r\n\t<\/div>","protected":false},"excerpt":{"rendered":"

The robotics sector is developing rapidly, primarily due to the integration of artificial intelligence (AI) into robot systems. AI enables improvements such as faster adaptation times in 3D vision sensor technology and more precise force detection. The most important trend is AI-driven predictive maintenance, which detects defects early. This prevents costly unplanned downtime, which costs around 45 billion euros worldwide annually.
\nAI makes maintenance smarter by combining real-time data and historical trends, rather than relying solely on fixed baselines. A practical example is Mitsubishi Electric\u2019s MELFA Smart Plus technology, which continuously monitors robot components and automatically generates maintenance schedules. The lifespan of robots can also be predicted during the design phase.
\nThe new MELFA RV-8CRL robot is designed for minimal maintenance and benefits from AI-based predictive maintenance thanks to a sustainable drive and modern battery-free servo motors. AI significantly reduces both planned and unplanned downtime, increasing availability.
\nMitsubishi Electric views AI as a strategic core technology and develops AI solutions under the 'Maisart' brand, enabling companies to further improve their productivity and reliability.<\/p>","protected":false},"featured_media":80863,"template":"","branches":[12],"events":[354,8],"secretariat":[],"categories":[],"themes_tax":[],"content_types":[514],"class_list":["post-39996","news","type-news","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nAI versnelt robotica: voorspellend onderhoud en hogere beschikbaarheid met Mitsubishi Electric<\/title>\n<meta name=\"description\" content=\"Mitsubishi Electric integreert geavanceerde AI in robotica voor slimmer voorspellend onderhoud, minder stilstand en maximale productiviteit. 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