![]() Recently, ABB demonstrated a great example of this process in a COVID-19 testing facility. “Instead of spending a lot of time and resources on setting up the equipment, capturing many images, and manually annotating them, it is now possible to do so easily and automatically within a virtual environment.” “By utilizing the digital twin of the production system and the product, it is now possible to significantly shorten the time taken to set up and validate a robotic system with integrated vision and machine learning,” said Zachi Mann and Shahar Zuler, Siemens software engineers, and Albert Harouninan researcher and software engineering. The recent blog post, Digital twins: How they can help scale up industrial robotics AI, explained how useful a digital twin for robotic installations could be. Listen to ASME TechCast: Lockheed Martin’s Digital Twin Journey Now with the digital twin, engineers can install and layout robot setups faster than before. Artificial intelligence and machine learning integration with robots provide advanced machine vision capabilities, built-in safety features, and easier programming protocols. Robots are at the forefront of several different technologies. Photo: ABBOne of the examples that has impressed me the most is digital twin use in robotics. ABB’s high-precision robots have been deployed in a new automated laboratory system, known as the Rapid Automated Volume Enhancer (RAVE). ![]()
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