
CMES Robotics USA, FANUC, and PAC Machinery to Showcase Integrated Robotic Bagging Solution at Automate 2026
Quick Answer
This paper shows that CMES Robotics USA, in collaboration with FANUC and PAC Machinery, will present a fully integrated robotic bagging solution at Automate 2026 in Chicago.
Quick Take
CMES Robotics USA, in collaboration with FANUC and PAC Machinery, will present a fully integrated robotic bagging solution at Automate 2026 in Chicago. This live demonstration showcases a complete pick-to-pack automation system designed to enhance efficiency and reduce labor costs in packaging operations.
Key Points
- Live demonstration of a pick-to-pack automation system at FANUC booth.
- Collaboration includes CMES Robotics USA, FANUC, and PAC Machinery.
- Focus on enhancing efficiency and reducing labor costs in packaging.
- Showcase at Automate 2026 in Chicago highlights industry innovations.
- Integrated solution aims to streamline packaging operations.
📖 Reader Mode
~4 min readCMES Robotics USA, FANUC, and PAC Machinery to Showcase Integrated Robotic Bagging Solution at Automate 2026
Complete pick-to-pack automation system running live at FANUC booth in Chicago
Bensenville, IL, June 10, 2026 — CMES Robotics USA, FANUC, and PAC Machinery will showcase a fully integrated robotic bagging solution at Automate 2026, June 22-25, 2026, at the FANUC booth S-1001 at McCormick Place in Chicago, IL.
The joint solution pairs CMES Robotics USA's AI-powered piece picking technology with PAC Machinery's Rollbag® R3200XL bagging system, powered by a FANUC collaborative robot. Together, the system delivers a complete pick-to-pack automation platform designed to help manufacturers and fulfillment operations increase throughput, reduce manual labor, and improve packaging consistency.
Live demonstrations at booth S-1001 will show how CMES Robotics USA's AI Vision identifies and grips items of varying shapes and sizes, the FANUC cobot places them directly into the PAC Machinery bagger, and the product is packaged immediately. The result is a seamless, high-speed automation solution built on three industry-leading platforms.
"FANUC works closely with integrators and solution providers to help manufacturers address real-world automation challenges," said Jerry Perez, Business Development Manager, FANUC America. "While automation has traditionally relied on highly customized systems, we're seeing growing demand for more standardized, ready-to-deploy solutions that allow customers to drive faster results and improve their business performance."
"Pairing CMES AI Vision with FANUC's collaborative robotics and PAC Machinery's bagging technology gives customers a complete, production-ready system from companies they already trust," said Alex Choe, President, CMES Robotics USA. "At Automate, people will be able to see the whole solution running live."
The combined system addresses persistent challenges across manufacturing and fulfillment: labor availability, throughput demands, and the need for flexible automation that handles real-world product variability. CMES Robotics USA's AI Vision software enables the FANUC cobot to recognize and grip virtually any item regardless of shape, size, or storage method, feeding directly into PAC's high-performance bagger without custom tooling or manual reprogramming for each SKU. With sustainable packaging becoming more important, PAC Machinery's flexible packaging technology changes between paper or poly bagging easily with toolless changeover, aligning automation investments with evolving sustainability goals.
Automate 2026 is one of North America's largest robotics and automation trade shows, drawing engineers, operations leaders, and automation buyers from across industries. CMES Robotics USA will join FANUC and PAC Machinery at booth S-1001 to demonstrate how AI vision, collaborative robotics, and smart packaging equipment work together as a production-ready system.
Visit CMES Robotics USA, FANUC, and PAC Machinery at Booth S-1001 at Automate 2026, June 22-25, 2026, at McCormick Place, Chicago, IL.
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— Originally published at roboticstomorrow.com
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