Path planning is one of the most important problems to be explored in unmanned aerial
vehicles (UAVs) for finding an optimal path between source and destination. Although, in …

In recent years, unmanned aerial vehicles (UAVs), commonly known as drones, have
gained increasing interest in both academia and industries. The evolution of UAV …

To overcome the limitation of poor processing times for long-distance off-road path planning,
an improved A-Star algorithm based on terrain data is proposed in this study. The improved …

Path planning for wheeled mobile robots on partially known uneven terrain is an open
challenge since robot motions can be strongly influenced by terrain with incomplete …

This paper proposes an approach based on neural networks for designing near-optimal 3D
trajectories connecting two points separated by obstacles. A reference path is first built with …

The unmanned aerial vehicles (UAVs) have been widely used in various fields in recent
years, where the three-dimensional (3D) flight path planning is very important to realize the …

This paper presents a framework for 3D trajectory design in cluttered environments for
multirotor unmanned aerial vehicles. The proposed method employs C 2 continuous …

Path planning is one of the important components of the Unmanned Aerial Vehicle (UAV)
mission, and it is also the key guarantee for the successful completion of the UAV's mission …

In the face of increasing demands for tasks such as mountain rescue, geological exploration,
and military operations in complex wilderness environments, planning an efficient walking …

The article presents a navigation system that utilizes a semantic map created on a
hexagonal grid. The system plans the path by incorporating semantic and metric information …