Path planning is a process of obtaining reasonable, collision free route between the start
and goal point. The need of path planning becomes important for fully or partially automated …

Path planning is one of the problems in robotics. It consists on automatically determine a
path from an initial position of the robot to its final position. In this paper we propose a variant …

Aiming at the problem that the traditional ant colony algorithm (ACO) has poor solution
quality in the dynamic path planning process, this paper proposes an improved ACO. Firstly …

Aimed at the shortcomings of the ant colony algorithm in robot path planning, which need
much time and easy to fall in premature stagnation. This paper proposes a random …

In this work, a method for finding the optimal path from an initial point to a final one in a
previously defined static search map is presented, based on Ant Colony Optimization Meta …

An evolving ant colony system called genetic algorithm and ant colony optimization (GA-
ACO) is proposed to solve an autonomous mobile robot trajectory planning problem. The …

The use of robots in carrying out various tasks is popular in many industries. In order to carry
out a task, a robot has to move from one location to another using shorter, safer and …

This article aims to improve the problem of slow convergence speed, poor global search
ability, and unknown time-varying dynamic obstacles in the path planning of ant colony …

Path planning is an important area of mobile robot research, and the ant colony optimization
algorithm is essential for analyzing path planning. However, the current ant colony …

Autonomous mobile robots have become very popular and essential in our life, especially in
industry. One of the crucial activities of the robot is planning the path from a start point to a …