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July 10, 2025Transactions on Computer Science and Intelligent Systems Research

Typical Method Combination of Global Path Planning Technology Based on SLAM Technology

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Authors

XLXinyue Li

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Overview

This article discusses the optimization of global path planning using SLAM in robotics, highlighting algorithmic strengths and weaknesses.

Key Points

  • Global path planning methods improve robotic navigation in complex environments, enhancing autonomy.
  • Key algorithms analyzed include A*, RRT, ant colony, and Dijkstra, revealing unique strengths and limitations.
  • Analysis employs reinforcement and deep learning to address challenges in current planning technologies.
  • Future advancements may focus on the intelligence and adaptability of algorithms for better performance.

Cite This Study

Xinyue Li (2025) studied this question.

synapsesocial.com/papers/68af55ccad7bf08b1eadc101https://doi.org/10.62051/68cdnf60
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  4. 4Theoretical Improvements of Control Algorithms in Robot Path Planning: From Traditional Methods to Intelligent Algorithms2025
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