Rapidly random-exploring tree (RRT) and its variants are very popular due to their ability to
quickly and efficiently explore the state space. However, they suffer sensitivity to the initial …

The rapidly exploring random tree and its variants (RRTs) have been widely adopted as the
motion planning algorithms for mobile robots. However, the trap space problem, such as …

In this paper, we present a novel path planning algorithm called Kinematic Constrained Bi-
directional Rapidly-exploring Random Tree with Efficient Branch Pruning (KB-RRT*), which …

In a human-robot coexisting environment, it is pivotal for a mobile service robot to arrive at
the goal position safely and efficiently. In this article, an elastic band-based rapidly exploring …

Mobile robot autonomous path planning is an essential factor for its wide deployment in real-
world applications. Conventional sampling-based algorithms have gained tremendous …

In this article, we present a novel nonuniform sampling technique, based on the pipeline of
rapidly exploring random tree (RRT), for efficiently computing high-quality collision-free …

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 …

Rapidly-exploring Random Trees (RRTs) have been widely used for motion planning
problems due to their ability to efficiently find solutions. Informed RRT* is an optimized …

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 …

Mapless navigation refers to a challenging task where a mobile robot must rapidly navigate
to a predefined destination using its partial knowledge of the environment, which is updated …