Designing autonomous robotic systems for monitoring tasks in critical security scenarios requires more rigorous verification criteria. The losses associated with unsuccessful practical experiments are immeasurable, ranging from the simple loss of high-value-added equipment to those related to loss of life. This reality justifies the need to adopt an extensive framework of tools for realistic, efficient, and responsive computer simulation. This article proposes a novel integration architecture and combines open-source tools to promote the successful implementation of autonomous robotic systems in monitoring tasks. The proposed solution relies on consolidated tools like Robot Operating System (ROS), Gazebo Simulator, and ArduPilot FCU (Flight Control Unit). It includes full support for implementing XITL techniques (such as Model, Software, and Hardware) – in the Loop. Experimental results demonstrate the proposal’s effectiveness for a new model of autonomous surface vehicles (ASVs) in a realistic environment, dedicated to environmental monitoring in challenging natural conditions, commonly found in a stretch of the Madeira River – Brazil, specifically at Santo Antônio hydroelectric plant.