Path planning method with improved artificial potential field—a reinforcement learning perspective

Q Yao, Z Zheng, L Qi, H Yuan, X Guo, M Zhao… - IEEE …, 2020 - ieeexplore.ieee.org
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …
被引用次数：146 相关文章

[引用][C] Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning Perspective

Q Yao, Z Zheng, L Qi, H Yuan, X Guo, M Zhao, Z Liu… - IEEE Access, 2020 - cir.nii.ac.jp
Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning
Perspective | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

[引用][C] Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning Perspective

Q Yao, Z Zheng, L Qi, H Yuan, X Guo, M Zhao… - IEEE …, 2020 - ui.adsabs.harvard.edu
Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning
Perspective - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS …
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[PDF][PDF] Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning Perspective

M ZHAO, ZHI LIU, T YANG - scholar.archive.org
The artificial potential field approach is an efficient path planning method. However, to deal
with the local-stable-point problem in complex environments, it needs to modify the potential …