Path Planning Based on Fuzzy Logic Algorithm for Robots in Hierarchical Control

Abstract

To find the optimal path of mobile robots,a novel robot path planning strategy based on hierarchical control fuzzy algorithm has been proposed.The path planning strategy which developed to overcome the collision and avoidance problem in path planning of robot is inspired by fuzzy control concept,in order to achieving a target that making robots to follow a non-collision rapid and accurate path in uncertain environment.Simulation results showed that the strategy using fuzzy algorithm could meet the feasibility and validity demand.

Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method

“…According to the degree of intelligence in the process of path planning, mobile robot path planning can be divided into traditional path planning and intelligent path planning. The traditional path planning algorithm includes simulated annealing algorithm (Miao and Tian, 2013), potential function theory (Cetin and Yilmaz, 2014; Nair et al, 2015), fuzzy logic algorithm (Li et al, 2013; Jiang and Li, 2014; Bakdi et al, 2016) and so on. However, these traditional methods can't be further improved in path search efficiency and path optimization.…”