In our digital time, online ordering has increased and more and more people are using online services to digitally order their groceries and receive them at their homes. This has changed the way grocery companies operate. The constant increase of online ordering can also increase the error of processing customer orders which mostly originate from human error, either by shipping the wrong order or to an incorrect address or mistakes in keeping track of the correct number of stocks.
Despite high initial investments, Warehouse Automation is a solution to tackle these problems in a long term. Many big grocery retailers are applying some degree of automation from picking the goods from the storage area, autonomously carrying it to the conveyor belt or a final pick station. However, one of the areas that are still predominantly taken care of by human labor is the final stage of picking the items and putting them into the customer bag.
Artificial intelligence and machine learning agents can be trained to detect the objects in stationary or moving containers, grab them from the best angle, and generate a trajectory to place them in a designated place.
Our research begins here where we take care of all important scenarios relevant to the automation of pick stations in a warehouse. The shape of the objects, stiffness, arrangements in the containers, lightning conditions, gripping features, and most importantly the ability of the robot to learn to pick and place newly introduced items are among the topics which are covered in our chair at the technology of the logistics system.
Letzte Änderung: 11. April 2022