My Robotics Studio 1 group and I are proud to share our incredibly robust and scalable robotics concept F.L.A.R.E (Firefighting using Localisation and Advanced Real-time Environment Mapping)! The core objective of our project was to demonstrate a highly polished and technically challenging robotics concept to enhance safety and operational efficiencies for agencies including the Rural Fire Service and NSW National Parks and Wildlife Service. Our demonstration comprises of both a UAV for autonomous aerial fire scanning and sweeping using RGB and IR camera inputs, and a UGV that autonomously navigates to fires and extinguishes them relying on a LiDAR based SLAM and Nav2. This is all brought together via our GUI. The simulation was created using Gazebo Ignition, and all developed in ROS 2. Our primary focus was on a polished and intuitive user interface with seamless operation on a Steam Deck. This focus on human-centric design provides the operator with critical situational awareness in a mobile package. The GUI provides: - Human-centred controls to easily start/stop autonomous routines. - Immediate feedback on the current status of fires positions and size, battery percentages and current mission statistics. - Live data streams, including thermal imaging feeds, ariel view mapping and real-time RGB camera streaming over ROS2. - Precise positional tracking of the UAV and UGV. - Reliable manual teleoperation override capability, to ensure the user remains in control. This dual robot system is designed to be scalable and modular, with appropriate configurations to allow for multiple UGV's and UAV's that can independently navigate to and extinguish separate fires. This experience has solidified my skills in SLAM implementation, multi-robot communication, teleoperation and human centered designs. The implementation of the SteamDeck proved to be a challenging but an impressive real world use case for ROS2. You can review the full project architecture, code, and simulation scenarios on GitHub. https://lnkd.in/gpGhYm8Q