From 19th-21st February 2020, Tokyo International Logistics Fair Logis-Tech Tokyo was held in Tokyo, Japan, and Guozi Robotics presented its star product SLIM AMR.
Logis-Tech Tokyo is held every two years and is one of the largest professional exhibitions for logistics in Asia. SLIM made its global debut at PROMAT in the USA in April 2019 and has attracted widespread attention from the industry since its launch. It has already been successfully used in Japan, and its presence at this professional logistics exhibition has enabled more Japanese logistics professionals to learn about the innovative products from China.
On March 9, 2020, the biennial Atlanta International Logistics Exhibition MODEX2020 opened at the Georgia International Exhibition Center in Atlanta, GA, and Guozi Robotics PICKING, SLIM and other products demonstrated a variety of logistics solutions for the guests. As the only global logistics robot supplier of Staples, Guozi Robotics has a long experience in North America, and the new generation of PICKING AMR at the show has been upgraded on the basis of the original one, which can adapt to more picking scenarios and bring customers various logistics solutions. Numerous exhibitors visited the Guozi booth to experience for themselves the new style that AMR bring to the logistics industry.
The two star products that occupied the C-seat at the International Logistics Exhibition
Light weight and high load capacity: the SLIM weighs only 590KG and has a body width of 882mm, but has a maximum load of 1400KG and a lifting height of 2M.
Low channel width requirement: the minimus aisle width is 3.2M for the common stacking AMRs on the market today.
Flexible docking: to achieve flat storage stacking and unfixed pallet handling.
Independently developed by Guozi Robotics, with a number of PCT international patents.
Suitable for BC-type goods-to-person scenarios with many SKU categories and high order dispersion, and can achieve simultaneous operation of 5~8 totes in single picking.
The work efficiency is 3-4 times higher than traditional manual, and return on investment is 1.5-2 years on average.