An Improved HM-SAC-CA Algorithm for Mobile Robot Path Planning in Unknown Complex Environments
Path planning and its optimization is a critical and difficult task for a mobile robot in a complex and unknown environment. To tackle this problem, we propose an improved SAC (HM-SAC-CA) algorithm for path planning in unknown complex environments. First, based on the SAC maximum entropy framework,...
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Main Authors: | Ting Jiao, Conglin Hu, Lingxin Kong, Xihao Zhao, Zhongbao Wang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10856113/ |
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