... large-scale simulations where different methods could be rigorously tested (NASA, 2025). Ensuring accurate modelling in these simulations requires detailed representation of all system components, including VTOLs, environmental conditions, autonomy parameters, path planning, traffic rules...

...Wendong Gai; Yu Zheng; Jing Zhang; Guilin Zhang Purpose Unmanned aerial vehicles (UAVs) require the effective path planning method to navigate in the environments with obstacles and rugged terrain. This study aims to address the UAV path planning problem by formulating it as an optimization...

...Volkan Yasin Pehlivanoglu; Perihan Pehlivanoğlu Purpose The purpose of this paper is to present an efficient path planning method for the multi-UAV system in target coverage problems. Design/methodology/approach An enhanced particle swarm optimizer (PSO) is used to solve the path planning...

...Demet Canpolat Tosun; Yasemin Işık Purpose It is possible with classical path planning algorithms to plan a path in a static environment if the instant position of the vehicle is known and the target and obstacle positions are constant. In a dynamic case, these methods used for the static...

.../methodology/approach A three-dimensional (3D) feature detection method is first proposed to extract salient features from the observed point cloud, after that, the salient features are employed as the candidate destinations for re-visiting under SLAM structure, followed by a path planning algorithm...

... decentralised control algorithm is introduced. In the fourth section, the results of the simulation for three scenarios are presented. Finally, in the fifth section, we summarise the findings of this paper. Spacecraft formation flight Decentralised control Path planning Multi-agent system ©...