INSIGHTS
TECHNOLOGY UPDATE: AI, ROBOTICS, SAFETY Mark T. Hoske, Control Engineering
Collaborative robot optimization Collaborative robots use artificial intelligence (AI) to increase usefulness in dynamically changing workspaces. Cobot factory applications can create more space between workers.
A
rtificial intelligence (AI) advancements have enabled collaborative robots (cobots) to precisely execute tasks in dynamically changing workspaces, enabling operations to run more smoothly, efficiently and productively. In addition, cobots are being deployed to lower risk, ease programming and cost-effectively deploy automation to increase worker distancing. Return on investment (ROI) for cobot implementation often is less than one year, according to Universal Robots, a collaborative robot manufacturer.
M More INSIGHTS
KEYWORDS: Collaborative
robots, AI, COVID-19 Artificial intelligence (AI) is adding to productivity of collaborative robotic implementations. Collaborative robots decrease risk by increasing distance among workers on the factory floor. Use of collaborative robots can have return on investment (ROI) under one year.
CONSIDER THIS How could a collaborative robot add efficiency?
ONLINE If reading from the digital edition, click on the headline. www.controleng.com/robotics
Using AI to improve efficiency
AI-powered cobots can increase production, decrease costs, and shorten cycle times in high-tech manufacturing environments. AI leverages billions of hours of iterative machine-learned practices to intelligently direct cobots in manufacturing, production and engineering. Tim DeGrasse, channel development manager, Universal Robots, said artificial intelligence can decrease return on investment in collaborative robot applications and deployed more easily with use of open interfaces. AI also increases collaborative robot production, decreases cost and shortens cycle times (which can increase throughput). DeGrasse gave video examples of how AI helps collaborative robot efficiency in man-
An Oct. 22 Control Engineering webcast from Universal Robots covered “Leveraging AI to Maximize Collaborative Robot Efficiency” with a video case studies and a question and answer session. See www.controleng.com/webcasts/past. Courtesy: Universal Robots
14
•
November 2020
control engineering
ufacturing in an Oct. 22 webcast “Leveraging AI to Maximize Collaborative Robot Efficiency.”
Examples: cobot worker distancing
Collaborative robots can be used to add distance between workers without significant assembly line redesigns, in turn decreasing risk of COVID-19 exposure, said Joe Campbell, head of U.S. marketing, Universal Robots, in a Sept. 23 webcast, “How cobots can be leveraged in the COVID-19 age.” Collaborative robots, seen as faster and easier to implement than conventional robotics, include benefits such as rapid payback; Campbell cited eight examples with return on investment (ROI) less than a year. Because collaborative robots are easy to implement and lower cost than traditional robots and more easily redeployed as needed, they’re being added to manufacturing application to increase worker distancing on the factory floor. Cobots also help with round-the-clock shiftwork to meet tighter delivery schedules. All Axis Machining, a 20-person contract machine shop and fabricator, was turning away orders because of COVID-19 reduced capacity. With fewer people in the shop, productivity increased, including addition of a lights-out third shift. Pandemic-related collaborative robot benefits. DCL Logistics, an order fulfillment company, increased business 30% in 60 days as online business exploded with the pandemic. The company avoided increasing risk to existing employees by avoiding the usual practice of hiring temporary workers. Labor content on each order decreased by half by using collaborative robots. Homtex, a home textile manufacturer, decided in April to add disposable face masks, personal protective equipment (PPE), to its offering, creating a $5 million investment and 80-120 jobs in Cullman, Ala., an area struggling to hire. Investments include 5 kg and 10 kg payload Universal Robots to help with end-of-line case packing and palletizing, on the way to making 350-million masks per year. The webcast has four more examples of how collaborative robots helping manufacturers increase productivity and decrease risk. ce
Mark T. Hoske is content manager, Control Engineering, CFE Media and Technology, mhoske@cfemedia.com. www.controleng.com
