The field of autonomous systems and robotics is rapidly advancing, with a focus on developing innovative solutions for complex problems. Recent research has concentrated on improving the safety and efficiency of autonomous vehicles, such as drones, in urban environments. This includes the development of novel guidance algorithms and motion planning techniques that enable drones to operate independently while avoiding collisions and managing air traffic. Additionally, there has been significant progress in the area of robotics, particularly in the development of new models and algorithms for handling planar contacts and optimizing velocity profiles. These advancements have the potential to improve the performance and safety of autonomous systems in various applications, including aerial defense and trajectory planning. Noteworthy papers in this area include: A Novel Model for 3D Motion Planning for a Generalized Dubins Vehicle with Pitch and Yaw Rate Constraints, which proposes a new modeling approach for 3D motion planning. Real-time Velocity Profile Optimization for Time-Optimal Maneuvering with Generic Acceleration Constraints, which presents a new algorithm for computing time-optimal velocity profiles along prescribed paths.