At present, most of the substation inspection robots use ant colony optimization (ACO) to
realize path planning, but the traditional ACO has deficiencies such as long planning path …

Aiming at the path planning problem of mobile robot, when the traditional ant colony
optimization (ACO) is simulated in grid model, it is assumed that ants can only move to …

It is easy to arise problems such as early search time is long, get stuck at local optimum
easily and convergence speed is slow when traditional ant colony algorithm is uesed to path …

Aiming at the problems of low search efficiency and slow convergence speed of basic ant
colony system algorithm, an improved ant colony path planning method based on key nodes …

Considering the limited adaptability of the existing substation inspection robot path planning
(PP) algorithms, the authors propose a novel PP method for mobile robots (MR) based on …

Path planning is one of the key technologies of robot. Aiming at the problems of slow
convergence speed and inefficient search of traditional Ant Colony System Algorithm, an …

The purpose is to improve the effect of substation inspection and ensure the safety of power
consumption in human society. First, this work discusses the current substation inspection …

Ant colony algorithm suffers drawbacks such as slow convergence and easy to trap into
local optimum, therefore the path planning for mobile robot based on an improved ant …

In the running process of mobile robot equipment, the path planning to reach the specified
target under the condition of known map modeling is an important topic. Traditional ant …

One enhanced ant colony optimization algorithm is proposed to address the issues related
to slow convergence speed and susceptibility to local optima in mobile robot path planning …