Press Release

Yale Breaks New Ground for Warehouses with Operator Assist Lift Truck Technology

June 17, 2021

Yale Reliant solution helps reinforce lift truck operating best practices by controlling performance based on real-time information and site-specific rules

Greenville, N.C. (June 17, 2021) – Yale Materials Handling Corporation announces an industry-first suite of operator assistance technologies that warehouses can use to help reinforce lift truck operating best practices. The Yale Reliant™ solution automatically adjusts lift truck performance based on proximity to pedestrians and obstacles, load weight, equipment status and location-specific rules. The technology is the product of more than 29,000 hours of research and development invested by Yale's parent company, Hyster-Yale Group.

Yale Reliant is a tool for supporting operator situational awareness and adherence to best practices. The solution triggers dynamic alerts to inform operators of proper operating protocols and initiates lift truck performance reduction based on facility-specific rules, while leaving the operator in ultimate control of the equipment.

“Advanced dynamic stability is the core technology of Yale Reliant. It applies performance limitations to equipment without introducing a ‘jerk’ event that can upset stability – but that’s not all,” says Kevin Paramore, Emerging Technology Commercialization Manager, Yale Materials Handling Corporation. “Rather than controlling performance based solely on equipment and load status, it scales beyond that, acting based on proximity and location information to account for the complexity of warehouse environments.”

In practice, this suite of technologies enables a broad range of functionality. For example, warehouses can set the desired following distance between equipment, and Yale Reliant can automatically limit speed to maintain proper distance. Operations can implement location-based rules to limit travel speed at the end of aisles, exclude equipment from pedestrian-heavy zones and much more. Yale Reliant also can apply performance controls in a variety of scenarios based on truck sensors and inputs, such as restricting travel and lift functions if a load exceeds the weight limit and reducing cornering speed to avoid upsetting stability.

The Yale Reliant solution leverages three key technologies to control truck performance based on real-time information. It provides proximity detection through either local or real-time location technologies that use tags on equipment, pedestrians and infrastructure to provide truck-to-truck, truck-to-pedestrian and truck-to-beacon detection. For further awareness, including objects not connected to proximity tags, lidar-based technology detects obstacles in the path of travel. Advanced dynamic stability uses information from lidar and proximity detection, together with equipment-level sensors and inputs, to provide advanced traction, hydraulic and overload control to support lift truck stability.  

About Yale Lift Truck Technologies

Yale Lift Truck Technologies leverages over a century of material handling experience and substantial investment in innovation to bring the most advanced technology-driven lift truck solutions to market. The company offers a full line of award-winning lift trucks, including reach trucks, order pickers, turret trucks, pallet jacks and trucks, pallet stackers, tow tractors and counterbalanced forklifts, as well as powerful operator assist solutions, proven robotics and a wide range of power sources to help customers adapt to today’s demanding supply chain. Yale and its independent dealer network support these solutions with comprehensive after-sales service, parts, financing and training.

Hyster-Yale Materials Handling, Inc. is a wholly owned subsidiary of Hyster-Yale, Inc. (NYSE:HY). Hyster-Yale, Inc. and its subsidiaries, headquartered in Cleveland, Ohio and operates globally.

Company Contact:
Jennifer Timblin
Yale Lift Truck Technologies
252-412-4322
jennifer.timblin@hyster-yale.com

Media Contact:
Dan Gauss
Koroberi
336-409-5391
dan@koroberi.com