Mobile Robot Path Planning Based on Time Taboo Ant Colony Optimization in Dynamic Environment

Mobile Robot Path Planning Based on Time Taboo Ant Colony Optimization in Dynamic Environment

This article aims to improve the problem of slow convergence speed, poor global search ability, and unknown time-varying dynamic obstacles in the path planning of ant colony optimization in dynamic environment. An improved ant colony optimization algorithm using time taboo strategy is proposed, name...

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Bibliographic Details
Main Authors: Ni Xiong, Xinzhi Zhou, Xiuqing Yang, Yong Xiang, Junyong Ma
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Neurorobotics
Subjects:
path planning
mobile robot
ant colony algorithm
dynamic environment
time taboo strategy
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2021.642733/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2021.642733/full

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