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Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
by
Tang, Yuexia
, Younas, Maryam
, Zakaria, Muhammad Aizzat
in
Algorithms
/ autonomous driving
/ Decision making
/ Dijkstra, Edsger W
/ Efficiency
/ Forecasts and trends
/ global path planning
/ intelligent planning algorithm
/ Liu, Timothy
/ local path planning
/ path planning algorithm
/ Planning
/ Review
/ Robotics
/ Robots
2025
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Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
by
Tang, Yuexia
, Younas, Maryam
, Zakaria, Muhammad Aizzat
in
Algorithms
/ autonomous driving
/ Decision making
/ Dijkstra, Edsger W
/ Efficiency
/ Forecasts and trends
/ global path planning
/ intelligent planning algorithm
/ Liu, Timothy
/ local path planning
/ path planning algorithm
/ Planning
/ Review
/ Robotics
/ Robots
2025
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Do you wish to request the book?
Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
by
Tang, Yuexia
, Younas, Maryam
, Zakaria, Muhammad Aizzat
in
Algorithms
/ autonomous driving
/ Decision making
/ Dijkstra, Edsger W
/ Efficiency
/ Forecasts and trends
/ global path planning
/ intelligent planning algorithm
/ Liu, Timothy
/ local path planning
/ path planning algorithm
/ Planning
/ Review
/ Robotics
/ Robots
2025
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Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
Journal Article
Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
2025
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Overview
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.
Publisher
MDPI AG,MDPI
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