High capacity, easy palletising with Fuji robotics
Fuji Ace have been developing, supplying and improving palletising technology for nearly 40 years. In 1982 Fuji recognised the changing market and met the demands of the palletising industry by developing the first Robotic Palletiser. They have since perfected the mechanical and electrical aspects of robotic operation to match the needs of virtually every palletising application currently available, with over 10000 installations in operation. Aurora is excited to announce the addition of the Fuji range of Robotic Palletising systems to its extensive range of process equipment on offer. Aurora have for many years provided superior machinery for the Bulk Materials Handling industry and as solution providers we are able to combine modular type equipment for materials handling plants large and small. The addition of the Fuji range of Robotic Palletisers means Aurora offers its clients the choice of a high capacity, economical solution to handling bags and boxes on their packaging lines. As a specifically designed palletising robot the Fuji-Ace system provides many benefits over conventional robotic arm alternatives. The Fuji-Ace Palletiser reduces space and power requirements, provides the highest capacity cycle available, and is easily programmed and adjusted from the specific palletising controller, removing the previously time consuming task of programming the robot. Up to 30 stacking patterns can be programmed into the robots memory. Fuji also utilises a point to point control system that further reduces and simplifies programming time, with only the pick and drop points needing to be programmed for the first two layers. Aurora provides full automation and pallet transfer systems, specified to suit whatever application within all production environments. At Aurora we stand close behind our product and our industry leading brands are backed by expert advice, premium product, installation and scheduled servicing, that is second to none. All this is ultimately designed to […]