Path Planning of Mobile Robot With Improved Ant Colony Algorithm and MDP to Produce Smooth Trajectory in Grid-Based Environment

Path Planning of Mobile Robot With Improved Ant Colony Algorithm and MDP to Produce Smooth Trajectory in Grid-Based Environment

This approach has been derived mainly to improve quality and efficiency of global path planning for a mobile robot with unknown static obstacle avoidance features in grid-based environment. The quality of the global path in terms of smoothness, path consistency and safety can affect the autonomous b...

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Bibliographic Details
Main Authors: Hub Ali, Dawei Gong, Meng Wang, Xiaolin Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Neurorobotics
Subjects:
mobile robot
ant colony algorithm
Markov decision process model
motion planning
obstacle avoidance
Online Access:https://www.frontiersin.org/article/10.3389/fnbot.2020.00044/full

Internet

https://www.frontiersin.org/article/10.3389/fnbot.2020.00044/full

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