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Yale Highlights Robotic Counterbalanced Stacker Lift Truck at PACK EXPO Chicago

Monday, October 15, 2018

In an age of increasing demand and limited workforce availability, operations are turning to robotic solutions to optimize workflow and enhance labor efficiency. Yale Materials Handling Corporation is highlighting the latest addition to its robotic lift truck lineup, the Yale® MC10-15 counterbalanced stacker Driven by Balyo. Attendees can see the robotic CB stacker in action at PACK EXPO 2018 in Chicago’s McCormick Place at booth E-7856 in the Upper Lakeside Center.

“The counterbalanced stacker model is capable of not only point-to-point horizontal transportation, but also vertical movement, allowing it to autonomously retrieve or deposit pallets from elevated spaces. This opens a variety of tasks for automation, including transferring pallets from floor-level staging areas to conveyor lines, loading and unloading in cross-docking applications, and stacking pallet loads onto elevated storage racks. Personnel can switch the CB stacker from automatic to manual mode at the touch of a button, enabling them to handle unplanned challenges or fluctuating demands.

“The ability to pick from floor-level as well as lift and lower loads broadens the application of robotic lift trucks to a new range of tasks,” says Lou Micheletto, Manager of Integrated Solutions, Yale Materials Handling Corporation. “Here at PACK EXPO, attendees can see how this solution helps them address challenges finding and retaining labor, enabling employees to take on more advanced tasks by offering increasingly capable, flexible mobile robotic solutions.”


In addition to the MC10-15 counterbalanced stacker, Yale offers two other robotic lift truck models with Driven by Balyo technology – the Yale® MO70T tow tractor and MPE080-VG end rider models. The Balyo architecture offers the flexibility to manage a single truck or an entire fleet and is scalable to operational demands. The infrastructure-free navigation technology maps existing structural features to self-locate and navigate, without requiring extra infrastructure like tape, wires or magnets for guidance.

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