Robotics

News from VDMA Machine Vision, UKIVA and EMVA

Chinese automation from Anne Wendel, director of VDMA Machine Vision; Paul Wilson talks about self-driving delivery robots at the UKIVA Machine Vision Conference; and Thomas Lübkemeier updates on the EMVA's events calendar

Meeting automation challenges with vision-guided robotics

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Industrial robots can cut costs and increase productivity in virtually every manufacturing sector, but they have a major shortcoming - they can’t 'see'. Now a new generation of robots guided by advanced machine vision is taking robots far beyond the repetitive tasks typically found in mass production.

 

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Parameters​ ​of​ ​3D​ ​sensing​ ​techniques​ ​in​ ​a​ ​nutshell

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Machine vision is one of the driving forces of industrial automation. For a long time, it’s been primarily pushed forward by improvements made in 2D image sensing and, for some applications, 2D sensing is still an optimal tool to solve a problem. But the majority of challenges machine vision is facing today has a 3D character. From well-established metrology up to new applications in smart robotics, 3D sensors serve as a main source of data. Here, we discuss the parameters of 3D sensing techniques.

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