The field of autonomous systems and UAV networks is rapidly advancing, with a focus on improving efficiency, reliability, and scalability. Recent developments have centered around optimizing trajectory planning, energy management, and communication protocols. Notably, researchers have proposed innovative solutions such as bio-inspired leader-based energy management systems and communication-aware asynchronous distributed trajectory optimization frameworks. These advancements have significant implications for various applications, including low-altitude UAV networks, swarm formation control, and integrated sensing and communication systems. Some noteworthy papers include: MIGHTY, which achieves a 9.3% reduction in computation time and a 13.1% reduction in travel time over state-of-the-art baselines. AdaptFly, which significantly improves segmentation accuracy and robustness over static models and state-of-the-art TTA baselines. EcoFlight, which consistently finds paths with lower energy consumption than comparable algorithms, particularly in high-density environments. TOPP-DWR, which achieves time-optimal path parameterization while adhering to all constraints. Handover-Aware URLLC UAV Trajectory Planning, which preserves URLLC connectivity while achieving a clear trade-off between fewer handovers and flight efficiency. Communication-Aware Asynchronous Distributed Trajectory Optimization, which enables fully distributed optimization while substantially reducing communication overhead. Bio-inspired Integrated Networking and Control, which achieves highly maneuverable swarm formation marching with significant reduction on communication overhead.