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Artificial intelligence (AI) and machine learning have been in industrial production for years—at least in theory. From June 21 to 24, 2022, the international robotics and automation technology fair (automatica) in Munich will fully demonstrate the wide range of applications of artificial intelligence. ISO OEM precision plastic equipment
There is no doubt that AI-based automation solutions will be an important topic in the coming years. But the current question is how quickly AI technology can be integrated into manufacturing companies to realize its huge potential. A survey by Longitude Research and Siemens made it clear that more than half of business leaders expect artificial intelligence to take control of factories, machinery and critical infrastructure within the next five years.
However, the basic premise for realizing this expectation is that all components involved in the production process need to be digitally connected end-to-end. Once this hurdle is overcome and data can be exchanged autonomously between all relevant systems, the basis for smart production can be realized. Patrick Schwarzkopf, Managing Director of the Robotics and Automation Association of the German Machinery Manufacturing Association (VDMA), said: “In a few years, a large-scale digital network will be built so that all components can exchange data with each other, optimize autonomously and make intelligent decisions. reactive behavior.” ISO OEM precision plastic equipment
Intelligent behavior relies on machine vision
Although most factories have not yet established comprehensive digital networks, stand-alone AI solutions are already widely used. In this process, machine vision has assumed an important role, paving the way for intelligent production.
A quick trip to space could show us how advanced imaging technology works. For example, from 2023, ten satellites equipped with ABB’s multispectral imaging system will orbit the Earth, documenting the planet’s ecosystems. The system provides high-quality images with a resolution accuracy of up to 5 meters. Artificial intelligence analysis systems provided by satellite operators can assess global natural and man-made changes in near real-time.
Closer to home, if you come to the automatica2022 exhibition site, you will have the opportunity to see the artificial intelligence displayed by industry leaders such as Asentics, Basler, Cognex, MVTec, IDS, ISRAVision, Sick, StemmerImaging, etc. Cameras, sensors, software, etc. Machine vision is also a key technology for artificial intelligence robot applications. For a long time, the vision system determines the autonomy and flexibility of the robot, and high-performance image processing is one of the basic conditions for the robot to realize intelligent operation. ISO OEM precision plastic equipment
Computer skills are the foundation of artificial intelligence
Dr. Werner Kraus, Head of the Robotics and Assistive Systems Division at the Fraunhofer Institute (IPA), summed up the characteristics that a robot integrated into a smart production environment should have: “Image and mechanical data form the functions required for an AI robot. However, Most robots in use today lack vision capabilities. In the future, robots in smart factories will have to be equipped with cameras and force sensors. Virtual training environments are another key factor in enabling true autonomous action. Industrial robots need to utilize digital twin technology to generate simulations Training data so that the robot can work directly and efficiently.”
Finally, cycle time has a critical impact on robotics, where AI must be capable of low-latency, real-time control. As a result, AI is moving from resource-rich cloud computing to edge computing. This requires the computing power of the robot controller to run and train the AI model. ISO OEM precision plastic equipmentRobot’s high-performance brain
Industry upstarts such as Micropsi Industries and Robominds are developing future-proof solutions to make standard robots compliant with AI applications with minimal changes. These companies are working to make robots intelligent. Christian Fenk, Chief Safety Officer at Robominds, commented: “We believe that every robot should have a brain. At automatica 2022, we will show how high-performance controllers and machine vision systems can be used to upgrade the artificial intelligence applications of robots by ‘ We’re fine-tuning the way to dramatically improve the ease of operation of robots. We’re achieving an ambitious goal of ushering in a new era of robotics by pioneering true artificial intelligence.”
Focus on robot grasping system: integrated intelligence
Robotic handling system manufacturers such as Festo, IPR, Onrobot, Schunk, Zimmer and others will demonstrate the use of intelligent systems in standard components. ISO OEM precision plastic equipment
Equipped with a variety of sensors and integrated software, this high-tech gripper can easily and reliably perform tasks such as picking loose parts. The professional audience of automatica2022 will also have the opportunity to gain an in-depth understanding of the combined application of collaborative robots and intelligent grasping systems through live demonstrations.
Future Intralogistics and Production Concepts
All in all, the megatrends of digital networks and artificial intelligence are ushering in a new era of automation technology. Thanks to these technologies, highly flexible intralogistics and production concepts that were previously unimaginable become a reality.
Judging from the current pace of innovation, this year’s Munich International Robotics and Automation Technology Fair may become a crucial one in history. Exhibitors at the show are also more diverse than in the past, covering everything from startups to industry pioneers. ISO OEM precision plastic equipment
