Thinking Outside the Robotics Cell

Advanced technology is enabling OEMs to move robots beyond their traditional box-like environments. As new use cases emerge, piloting opportunities and operator training could differentiate the OEMs that see the most success and the strongest ROI.

With AI-based vision technology, ABB Robotics’ Robotic Parcel Inductor can handle unknown and randomly arranged items in unstructured environments.
With AI-based vision technology, ABB Robotics’ Robotic Parcel Inductor can handle unknown and randomly arranged items in unstructured environments.
ABB

Sam Goldberg, chief operating officer at Econocorp Inc., is fairly certain he won’t ever hire a robot to build his machinery or fill a truly intuitive role. Even the most advanced robots will keep performing tasks that are, at best, monotonous and, at worst, the kind of dangerous or “dirty” work humans prefer to avoid. But when someone like Elon Musk floats the idea of mass-producing humanoids for consumers at roughly $30,000 by 2027, Goldberg can’t help but wonder how much more headroom there is for what robots can offer OEMs. 

“You’re seeing a lot of today’s robot manufacturers look at what really differentiates their robots,” Goldberg said. “You’re starting to see people use robots in different ways than they traditionally have.”

As innovation accelerates and component standardization drives costs down, industry leaders see widening options for integrating robotics beyond traditional cells and end-of-line solutions. Artificial intelligence (AI)-guided vision, mobile capabilities, and software-driven systems are making robots more productive, safer, and more comprehensive.

AI adoption and other advancements

One prevailing concern about robotics has long been that the technology would erode the value of human workers. There’s growing evidence of a collective change in perspective as the industry struggles with lingering workforce shortage issues, particularly among skilled employees.

According to Dillon Sego, vice president of engineering and sales at CRG Automation, a shift in how today’s robots are being applied has been born out of those challenges. 

“When robotics really kicked off, many people saw it as something that would take jobs away,” Sego said. “But we’re not seeing that. Most of our customers are struggling to fill the roles they already have open. Automation may reduce a position on paper, but in practice, it shifts people away from repetitive, non-value-added, and physically demanding work into more skilled, higher-value roles.”

CRG Automation has implemented a Cognex vision system for quality control on a line that automates the packaging of a global consumer brand’s product.CRG Automation has implemented a Cognex vision system for quality control on a line that automates the packaging of a global consumer brand’s product.CRG AutomationDriving much of that innovation is the rise of vision-guided systems that bring sight to robots through advanced cameras, vision software, and arms that increasingly rely on machine learning and deep learning AI to perceive, interpret, and interact with various environments. These smart systems are replacing rigid, fixed fixtures with flexibility and dynamic automation—helping robots detect objects and their position, orientation, and variations during pick-and-place procedures, including for sorting mixed-SKU loads in unstructured environments.

“You can send in new SKUs that the robot hasn’t been taught, and it can dynamically adjust to pick and place that specific product,” Sego explained. “I’m teaching them what they need to do, and to some extent the robot is figuring out the most optimal path.”

At Econocorp, which has specialized in secondary packaging machinery since the 1960s, a recently earned FANUC-authorized system integrator status is opening new opportunities to design, build, and install custom robotic automation systems, Goldberg said. 

“Traditionally, we would sell standalone equipment to an integrator that would take responsibility for the customer,” he said. “But more customers today don’t want to buy machines from an integrator. End users prefer that OEMs build sophisticated, complex equipment and handle all the work involved.”

As vision-guided robots become more robust, Goldberg expects engineered lighting to grow in importance, improving contrast and visibility while eliminating shadows that can interfere with object detection. He also thinks vision systems on robot applications will become the norm. 

“We’ve learned that the conveyor color matters as well as the lighting color,” he said. “You’re looking to be on the opposite side of the color spectrum of what you’re picking up.  That way, the vision system has the best shot of seeing the product as it comes through and being able to identify the correct orientation to be placed in.”

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