Robotics and supply chain automation company GreyOrange is set to unveil its expanded range of Butler robots capable of managing a variety of payloads from 100kg (220 lb) to 1600kg (3500 lb).
The goods-to-person Butler system lets warehouses run high-speed operations by automating inventory storage and order fulfilment. It has been deployed in distribution centers in Japan, Hong Kong, India, Europe and the Americas for industries such as third-party logistics (3PL), e-commerce and retail.
The robotics systems handle a variety of items including apparel, home furnishing and personal care, reducing cost per shipment and quadrupling the productivity of warehouse operations.
Butler XL
The new Butler XL handles payloads of up to 1600kg (3500 lb). Its versatility is ideal for handling bulk inventory in factory warehouses, omnichannel fulfilment centers and large distribution hubs. A wide range of loads from raw materials to finished goods, including automotive components, manufacturing material and liquids, can be moved on and put or picked from pallets, drums, sacks, crates and cases.
Sid Chatterjee, vice president products, GreyOrange, said, “We are delighted to add the Butler XL to the growing Butler family. The entire Butler range operates with minimal supervision using our software platform, GreyMatter, developed by GreyOrange to revolutionize warehouse operations by connecting people, process and technology more efficiently using artificial intelligence (AI).
“In real time, it integrates and delivers all of the functionality, intelligence and services required for optimum warehouse operations.”
It is easy to add the Butler system to existing operations as it requires minimal changes to infrastructure. The Butler range shares a similar footprint and can navigate within the same width of aisles.
This versatility makes it easy to configure the Butlers to work in different parts of a warehouse for end-to-end autonomous fulfilment. Several units of the new Butler XL will be integrated in sites by mid-year.
February 27, 2018