Leveraging RRT<sup>*</sup>: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning

Leveraging RRT<sup>*</sup>: Probabilistically Interpreted Mechanisms Enhanced With P-HOPE and FLEX-OPT for Complex Path Planning

Path planning is a great challenge in the autonomous navigation of mobile robots. The Rapidly-exploring Random Tree<inline-formula> <tex-math notation="LaTeX">$^{\ast }$ </tex-math></inline-formula> (RRT<inline-formula> <tex-math notation="LaTeX"&...

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Bibliographic Details
Main Authors: Yujie Miao, Haiyang Liu, Ziqiang Zhang, Yanju Liang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Path planning
RRT*
objective bias
dynamic feedback optimization
local minima problem
Online Access:https://ieeexplore.ieee.org/document/10829612/
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