Robot Operating System (ROS) is a meta-operating system with a collection of sophisticated tools that can be used for enabling the scheduling and planning of mobile robots at industrial environments. Highly skilled IT professionals are handling intralogistics activities by programming the robots' behaviour at the facility layout, both at simulation and realworld environments. The customization of the system by non-experts is not a trivial task. We propose an efficient and user friendly ROS tool as an interface for providing hot-spots at the facility layout where the loading and unloading activities take place. The user input is stored and visualized while an Ant Colony optimization algorithm determines the shortest path for navigating at the facility layout while passing through all the sections of interest. The final output is visualized at the simulation environment while in the meantime the real world robot follows the proposed path at the facility. Our pilot case study uses the Turtlebot3 Waffle mobile robot at a warehouse facility layout and the results indicate that the proposed tool could be utilized by non-experts for efficiently customizing the mobile robot's path in real-world conditions.

Broiler chickens are among the main livestock sectors worldwide. With individual treatments being inapplicable, contrary to many other animal species, the need for antimicrobial use (AMU) is relatively high. AMU in animals is known to drive the emergence and spread of antimicrobial resistance (AMR). High farm biosecurity standards are a cornerstone for animal health and welfare, as well as food safety, as it protects animals from the introduction and spread of pathogens and therefore the need for AMU. The goal of this study was to identify the main biosecurity practices associated with AMU in broiler farms and to develop a statistical model that produces customized recommendations as to which biosecurity measures could be implemented on a farm to reduce its AMU, including a cost-effectiveness analysis of the recommended measures. AMU and biosecurity data were obtained cross-sectionally in 2014 from 181 broiler farms across nine European countries

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