Path planning for robots utilizing the enhanced A* and improved dynamic window approach algorithm
Hangda Zhao,
Shanmei Liu
Abstract:To address the issues of low search efficiency and the inability to dynamically avoid unknown obstacles in complex environments during mobile robots' path planning, a novel approach called the F_TSEA_IDWA algorithm is introduced to tackle these challenges effectively. The F_TSEA_IDWA algorithm is a fusion of two improved algorithms, namely TSE_A* and DWA. Initially, the TSE_A* algorithm is employed to conduct global path planning, followed by the extraction of path nodes generated by the TSE_A* algorithm as in… Show more
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