The company Notino has several complex warehouses in Europe. Tens of thousands of orders containing several products are handled daily in these warehouses. Some are operated by people, and others use robots to process orders. In the robotic warehouse, products are stored in storage boxes, and there is a stream of incoming orders. Robots transfer storage boxes to the picking stations, where pickers consolidate orders.

This thesis aims to design and implement planning algorithms and a base simulator for a new robotic warehouse to be built by Notino near Brno. The planning algorithms will include processing orders at the picking station and manipulating storage boxes. The planning algorithms will be encapsulated in a simplified warehouse simulator to allow their comparison and evaluation. The thesis will appropriately design the simulator structure and interfaces for each planning function, which will be shared with other theses in progress. The work will include experimental validation of the implemented planning algorithms on real data supplied by Notino.

The thesis can reuse the architecture of the warehouse simulator developed for the current Notino's warehouse [1], where picking is performed by people rather than robots.