A modified Q-learning path planning approach using distortion concept and optimization in dynamic environment for autonomous mobile robot
Autonomous mobile robot path planning in unknown and dynamic environment is a crucial task for successful mobile robot navigation. This study proposes an improved Q-learning (IQL) algorithm to address the challenges of path planning in such environments. To this end, three different modes are intr...
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| 主要な著者: | , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Elsevier
2023
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| 主題: | |
| オンライン･アクセス: | http://eprints.uthm.edu.my/11646/1/J16153_c2bd76a73c1e817275f1aabce076fc0f.pdf http://eprints.uthm.edu.my/11646/ https://doi.org/10.1016/j.cie.2023.109338 |
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