Path planning for mobile robot using an enhanced ant colony optimization and path geometric optimization
Path planning of mobile robots in complex environments is the most challenging research. A hybrid approach combining the enhanced ant colony system with the local optimization algorithm based on path geometric features, called EACSPGO, has been presented in this study for mobile robot path planning....
Main Authors: | Songcan Zhang, Jiexin Pu, Yanna Si, Lifan Sun |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2021-05-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/17298814211019222 |
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