AGV Path Planning Based on Improved Artificial Potential Field Method
Chen Zheyi, Bing Xu
20212021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)38 citationsDOI
Abstract
Aiming at the local path planning problem of AGV, an improved artificial potential field algorithm is proposed. Firstly, the angle function is added to the traditional algorithm to match with the original force field function, and the fuzzy control idea is combined to enhance the stability. Matlab simulation results show that the algorithm has certain advantages in complex environment path planning. Compared with the traditional artificial potential field method, the improved artificial potential field method can complete the path planning task accurately and efficiently.
Topics & Concepts
Motion planningPotential fieldMATLABComputer scienceField (mathematics)Path (computing)Task (project management)Function (biology)Stability (learning theory)Artificial intelligenceAlgorithmMathematical optimizationEngineeringMathematicsRobotMachine learningGeophysicsPure mathematicsEvolutionary biologyOperating systemProgramming languageSystems engineeringBiologyGeologyRobotic Path Planning AlgorithmsAdvanced Manufacturing and Logistics OptimizationOptimization and Search Problems