Abstract Currently Mobile Robot has been widely used in examination and navigation
particularly where static and unknown surroundings are involved. Path planning is a crucial …

In this paper, the ant colony optimization (ACO) metaheuristic is proposed to solve the
mobile robot path planning (MRPP) problem. In order to demonstrate the effectiveness of …

In this paper, we present a path-planning algorithm for mobile robots in an environment with
obstacles. We investigate the used of Ant Colony Optimization (ACO) for determining 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 …

The basic ant colony algorithm for mobile robot path planning exists many problems, such
as lack of stability, algorithm premature convergence, more difficult to find optimal solution …

Ant colony algorithm is easy to fall into local optimum and its convergent speed is slow in
solving mobile robot path planning. Therefore, an ant colony algorithm based on angle …

Objectives: This paper presents an amended Ant Colony Optimization (ACO) algorithm for a
mobile robot navigation to find the most optimal path. Methods: A modified design and …

Path planning of mobile robots in complex environments is the most challenging research. A
hybrid approach combining the enhanced ant colony system with the local optimization …

Aiming at the shortcomings of single ant colony optimization such as many redundant
nodes, slow convergence and low efficiency, based on the idea of “selection-crossover” of …

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 …