The field of autonomous systems and communication networks is rapidly evolving, with a focus on developing scalable and efficient solutions for real-world applications. Recent research has explored the use of simulation platforms to study the performance of cellular-connected UAV systems, as well as the development of automated methods for generating high-precision simulated road networks. Additionally, there is a growing interest in the use of cloud computing and edge robotics to enable remote control and coordination of aerial robots. The development of integrated simulation frameworks for testing the robustness of autonomous vehicles to adversarial attacks is also an active area of research. Furthermore, researchers are investigating the use of multi-agent systems for generating realistic street design scenarios and evaluating the performance of online map construction models for autonomous driving. Noteworthy papers in this area include: A Modular and Scalable Simulator for Connected-UAVs Communication in 5G Networks, which presents a simulation platform for studying UAV communication performance. Automatically Generating High-Precision Simulated Road Networking in Traffic Scenario, which proposes an efficient method for generating simulated road networks. Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving, which reveals a vulnerability in online map construction models and proposes a novel attack framework.