intelligence and AI-driven reasoning, AEON merges data to understand its environment. Autonomy: AEON can operate continuously without direct supervision. Arvato Speeds Up Order Picking with New Rack-to-Person System in Poland Arvato, a logistics service provider specializing
The new system utilizes advanced robot technology to support order picking for employees. The autonomous mobile robots (AMRs) transport the warehouse shelves with goods to the picking stations in the 516,000-square- foot logistics center in Poznan. The robots move around the warehouse using a camera system and navigation codes. The direct delivery of shelves to the work stations, where employees pick the goods according to the order, streamlines and accelerates the picking process. Once picking is complete, the robots automatically return the shelves to the correct storage location. They also use historical data and heat map analyses to determine the ideal warehouse and stock layout as well as storage location for each item. AI helps the rack-to-person robots navigate, recognize their surroundings, and optimize routes, which allows them to perform tasks ef ciently and precisely. The robots are used in a closed storage zone, with sensor gates ensuring that employees do not accidentally enter the robots’ working area. The solution also enables continuous operation, which increases productivity and operational ef ciency. Hikrobot Integrates Wiferion Technology into AMRs Hikrobot, a provider of mobile robotics, now works with wireless charging technology from Wiferion. With
AMRs at Arvato center
Agility: AEON combines dexterity and locomotion with wheeled legs, using Hexagon’s measurement technology, to move quickly and perform high- accuracy tasks. Awareness: Bringing together spatial
in supply chain management and ecommerce, recently implemented a new rack-to-person system at its logistics center in Poznan, Poland—increasing the ef ciency of goods picking and warehouse processes for the online business.
Aligning Real-World Results With Automation Expectations B , Vce Presdent, Soluton Autom ton, FORTNA
Bus nesses m f nd tht rel-world returns on the r wrehouse utomt on sstems do not mtch on-pper prom ses Here re quest ons to s nd steps to te so opert ons cn mx m ze return on nvestment How hs busness chned snce the ornl cse for utomton Automted sstems re shped b foundt onl fctors l e volume, SU d mens ons, nd serv ce level
reements (SLAs) As the world chnes nd consumer preferences sh ft, bus nesses dpt But t tes effort nd ntent on for utomt on to do the sme For exmple, f sstem ws des ned to support two-d del ver but the SLA lter sh fts to one-d del ver, eep n the sstem s- s cn be rec pe for frustrt on nd downt me An mpct ssessment cn evlute the sstem’s current stte nst the new requ rements, nd dent f n necessr chnes, such s s mpl dd n more robots or m n dd t onl chnes Are ou ettn the most out of our dt Anlt cs dshbords mon tor welth of metr cs, from btter use to fults nd other performnce dt Th s nformt on cn be used to dent f problems before the turn nto mor ssues nd cuse downt me For exmple, f one robot s wor n s n f cntl slower thn others, us n dt to dent f the problem enbles opert ons to te proct ve steps to f x the robot before t stops wor n ltoether Are ou eepn up wth preventve mntennce nd softwre updtes Reulr equ pment m ntennce s essent l to mx m z n the l fespn of utomted sstems nd prevent n costl downt me Th s m ntennce mndte lso extends to softwre—wrehouses should me pln for ptches nd updtes on reulr cdence eep n softwre up to dte cn eep sstems runn n t pe eff c enc, streml ne troubleshoot n, nd enble opt ml performnce, secur t, nd funct onl t
Hikrobot AMR
150 Inbound Logistics • July 2025
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