The field of autonomous UAV systems is rapidly advancing, with a focus on developing innovative solutions for real-world applications such as search and rescue operations, post-disaster road assessment, and radiation source localization. Researchers are exploring new approaches to improve the autonomy, efficiency, and adaptability of UAVs in complex and dynamic environments. Notable trends include the development of unified models for multi-task drone routing, physics-informed neural networks for UAV path planning, and cooperative localization of radiation sources by swarms of UAVs. These advancements have the potential to significantly enhance the capabilities of UAVs and improve their performance in various scenarios. Noteworthy papers in this area include: Remote Autonomy for Multiple Small Lowcost UAVs in GNSS-denied Search and Rescue Operations, which presents a system for autonomous flight using lightweight consumer-grade drones. A Unified Model for Multi-Task Drone Routing in Post-Disaster Road Assessment, which proposes a unified model for drone routing that simultaneously addresses multiple problem variants. RADRON: Cooperative Localization of Ionizing Radiation Sources by MAVs with Compton Cameras, which presents a novel approach to localizing radioactive material by cooperating Micro Aerial Vehicles.