Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With
the increasing demand of society and the continuous progress of technologies, UAV …

As the technology of unmanned aerial vehicles (UAVs) advances, these vehicles are
increasingly being used in various industries. However, the navigation of UAVs often faces …

Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

As a sampling-based pathfinding algorithm, Rapidly Exploring Random Trees (RRT) has
been widely used in motion planning problems due to the ability to find a feasible path …

An Informed RRT*(IRRT*) algorithm is one of the optimized versions of a Rapidly-exploring
Random Trees (RRT) algorithm which finds near-optimal solutions faster than RRT and …

Optimal path planning is a fundamental problem in artificial intelligence (AI) and has wide
applications in areas such as robotics, transportation, and logistics. In this paper, we …

Abstract Rapidly-Exploring Random Tree (RRT) algorithm is a widely used path planning
method. However, it suffers from low solution efficiency, no search guidance, poor quality of …

Abstract This paper presents Morphological Dilation Voronoi Diagram Roadmap (MVDRM)
algorithm to address unsafe path computation accompanied by high time and space …

To improve the previous versions of Rapidly-exploring Random Trees (RRT) algorithms, a
novel algorithm based on Circular Arc Fillet (CAF-RRT*) for path planning problems in two …

Rapidly exploring random trees (RRTs) have been widely used for single-query motion
planning problems due to their efficient searching capability in high-dimensional and …