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Path Planning Trends for Autonomous Mobile Robot Navigation: A Review

Yuexia Tang, Muhammad Aizzat Zakaria, Muhammad Younas

Year
2025
Citations
68
Access
Open access

Abstract

With the development of robotics technology, there is a growing demand for robots to perform path planning autonomously. Therefore, rapidly and safely planning travel routes has become an important research direction for autonomous mobile robots. This paper elaborates on traditional path-planning algorithms and the limitations of these algorithms in practical applications. Meanwhile, in response to these limitations, it reviews the current research status of recent improvements to these traditional algorithms. The results indicate that these improved path-planning algorithms perform well in tests or practical applications, and multi-algorithm fusion for path planning outperforms single-algorithm path planning.

Keywords

Motion planningMobile robotPath (computing)RoboticsComputer scienceRobotArtificial intelligenceAny-angle path planningComputer network

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