Automate Showcases Future of Industrial Robotics, And It’s Remarkable

Automate Showcases Future of Industrial Robotics, And It’s Remarkable

The Rise of Robots


Material removal, end-of-arm tooling by Concept Systems






As many in automation are aware, robots are becoming an increasingly popular answer to completing dangerous or repetitive tasks: grinding, deburring, bin-picking, part inspections, etc. Several manufacturers and esteemed integrators assembled elaborate booths displaying various robot capabilities, many currently in use and others as possible future applications. This alone is indicative of the rise of robots, but it is only the beginning. The leading robot manufacturers all appear to be focused on making robots simpler to program/configure and easier to integrate with technologies that create incredible functionality. The result: collaborative robots.
The show floor featured a number of collaborative robots performing a wide variety of tasks from part handling to packaging, some even bagged candy to hand out or served ice cream in a cone. Using various sensing technologies, the applications for collaborative robots to work with human counterparts are infinite. Long gone seem to be the days of robots in hard guarding and being tucked away in the corner, wrapped in ominous metal fencing. Today’s robots are becoming more flexible in their range of applications, friendly in their interface, and free to be placed anywhere on the manufacturing floor.
After seeing the surprising versatility of machine vision applications on display at Automate, it became clear that machine vision is the technological advancement that will launch industrial robotics into the future. When combined with the interconnectivity of the Industrial Internet of Things (IIoT) and other smart tools such as mobile analytics, machines equipped with technologies like 3D embedded vision, multispectral and hyperspectral imaging, and deep learning will possess a primitive form of artificial intelligence that allows greater flexibility in application and the ability to actively learn processes without programming.
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