Optimising Intralogistics With Ai

KEB Automation operates an in-house transport system, AGILOX, which is designed specifically for intralogistics tasks. The AGILOX system comprises of a swarm of smart automated guided vehicles (AGVs) that work collaboratively to transport items around the warehouses. In AutoQML, a project that develops solution approaches for linking quantum computing and machine learning, KEB’s primary objective is to devise a machine learning solution capable of monitoring vehicle status and predicting potential failures. This machine learning solution will be seamlessly integrated into the KEB Ecosystem to provide constant surveillance of the AGILOX system’s health status, with the ultimate aim of enhancing intralogistics operations and minimising downtime costs.