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While 3D scanning has already been adopted by many automotive part manufacturers, the use cases in Quality Control (QC) have been limited.

Automotive is one of the most highly-automated industries in the world, and it has been a leading force in expanding the use of industrial automation for decades. In fact, the first industrial robot in production was a Unimation UNIMATE that GM installed on a die-casting line in New Jersey in 1962.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

In today’s booming software landscape, you see highly dynamic teams quickly iterating to develop and improve their products. Yet while the world’s software creators have learned to “move fast and break things,” hardware developers are still (slowly) moving to adopt a more agile product development methodology.

NASA's Langley Research Center is using collaborative robots (cobots) and RoboDK software to automate and enhance the inspection of aircraft fuselages. By utilizing dual cobots, heating elements, and infrared cameras, NASA has significantly improved inspection speed, accuracy, and coverage.

Unlocking the Future of Manufacturing: Key Insights from FABTECH 2023

GlobalFoundries Secures $3.1 Billion 10-Year DoD Contract for Cutting-Edge Semiconductor Manufacturing, Bolstering National Security and Innovation.

ABB Robotics introduces OptiFact, a powerful software platform revolutionizing data collection and analysis in automated factories.

Houston-based DET develops innovative packer system that regulates flow of heat and steam in geothermal wells

Best practices to combat ransomware, phishing attacks, and supply chain threats