We present a challenging dataset, the TartanAir, for robot navigation tasks and more. The
data is collected in photo-realistic simulation environments with the presence of moving …

Conventional visual bridge inspection methods are time consuming and may put the
inspector in dangerous situations. Unmanned Aerial Vehicles (UAVs) have been recently …

Navigation, a significant factor in mobile robotics, is known as a process of accurately
specify the position of the robot, planning the path, and following the planned path. The …

A vast amount of research has been conducted on path planning over recent decades,
driven by the complexity of achieving optimal solutions. This paper reviews multi-robot path …

This paper proposed a triangular inequality-based rewiring method for the rapidly exploring
random tree (RRT)-Connect robot path-planning algorithm that guarantees the planning …

Three-dimensional path planning for autonomous robots is a prevalent problem in mobile
robotics. This paper presents three novel versions of a hybrid method designed to assist in …

In this paper, a new approach is proposed for the smooth path planning of Ackermann
mobile robots based on an improved ant colony algorithm and B-spline curves. Firstly, by …

In this paper, we proposed a novel multi-robot collaborative exploration method to improve
the efficiency and robustness of multi-robot exploration in unknown environments. Firstly, a …

In order for UAVs to perform tasks safely and efficiently, path planning for UAVs is required.
The A-star algorithm can calculate the optimal path, but it needs to rasterize the map in …

Abstract Rapidly exploring Random Tree Star (RRT*) has gained popularity due to its
support for complex and high-dimensional problems. Its numerous applications in path …