As the key point for auto-navigation of mobile robot, path planning is a research hotspot in
the field of robot. Generally, the ant colony optimization algorithm (ACO) is one of the …

To realize a fast and efficient path planning for mobile robot in complex environment, an
enhanced heuristic ant colony optimization (EH-ACO) algorithm is proposed. Four strategies …

Ant colony algorithm is an intelligent optimization algorithm that is widely used in path
planning for mobile robot due to its advantages, such as good feedback information, strong …

Path planning problems have attracted the interest of more and more researchers due to its
widespread existence in recent years. For example, express delivery and food delivery …

In this paper, we address the problem that in path planning research, the traditional ant
colony algorithm suffers from slow convergence and is easily trapped in local optimal …

A novel method for the real-time globally optimal path planning of mobile robots is proposed
based on the ant colony system (ACS) algorithm. This method includes three steps: the first …

With the development of artificial intelligence algorithms, researchers are attracted to
intelligent path planning due to its broad applications and potential development. The ant …

To solve the problems of local optimum, slow convergence speed and low search efficiency
in ant colony algorithm, an improved ant colony optimization algorithm is proposed. The …

Path planning is involved in many applications such as trajectory planning, mobile robotics,
pipeline layout, etc. Researchers use artificial intelligence algorithms to solve path planning …

This paper proposes an improved ant colony algorithm to achieve efficient searching
capabilities of path planning in complicated maps for mobile robot. The improved ant colony …