To solve the autonomous navigation problem in complex environments, an efficient motion
planning approach is newly presented in this paper. Considering the challenges from large …

The sampling-based partial motion planning algorithm has been widely applied in real-time
mobile robot navigation for its computational savings and its flexibility in avoiding obstacles …

Innovative applications in rapidly evolving domains such as robotic navigation and
autonomous (driverless) vehicles rely on motion planning systems that meet the shortest …

In this article, based on the rapidly-exploring random tree (RRT), we propose a novel and
efficient motion planning algorithm using bidirectional RRT search. First, a RRT extend …

We present an evaluation of several representative sampling-based and optimization-based
motion planners, and then introduce an integrated motion planning system which …

The efficiency of sampling-based motion planning brings wide application in autonomous
mobile robots. The conventional rapidly exploring random tree (RRT) algorithm and its …

There are many challenges for robot navigation in densely populated dynamic
environments. This paper presents a survey of the path planning methods for robot …

This paper presents a search-based partial motion planner for generating feasible
trajectories of car-like robots in highly dynamic environments. The planner searches for …

Search-based motion planning has been used for mobile robots in many applications.
However, it has not been fully developed and applied for planning full state trajectories of …

Search-based planning with motion primitives is a powerful motion planning technique that
can provide dynamic feasibility, optimality, and real-time computation times on size, weight …