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Path Planning for Autonomous Mobile Robots: A Review.

José Ricardo Sánchez-Ibáñez1, Carlos J Pérez-Del-Pulgar1, Alfonso García-Cerezo1

  • 1Space Robotics Laboratory, Department of Systems Engineering and Automation, Universidad de Málaga, C/Ortiz Ramos s/n, 29071 Málaga, Spain.

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Summary
This summary is machine-generated.

This paper offers a comprehensive overview and classification of path planning algorithms for autonomous mobile robots. It addresses environmental modeling, robot mobility, and dynamics for ground vehicles and other surface robots.

Keywords:
autonomygraph searchguidanceroutesamplingsurveytrajectoryvehiclewheeled

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Autonomous Systems

Background:

  • Autonomous mobile robots require path planning for navigation.
  • Existing reviews of path planning algorithms are incomplete.
  • Selecting appropriate algorithms is challenging due to numerous approaches.

Purpose of the Study:

  • To provide a clear and comprehensive overview of path planning research.
  • To classify existing path planning algorithms.
  • To analyze algorithms applicable to autonomous ground vehicles and extendable to other surface robots.

Main Methods:

  • Global classification of path planning algorithms.
  • Analysis of environmental representation models.
  • Consideration of robot mobility and dynamics in path planning.
  • Review of algorithm applicability.

Main Results:

  • A global classification of path planning algorithms is presented.
  • Focus on algorithms for autonomous ground vehicles, with extensions to other surface robots.
  • Discussion on environmental models, robot mobility, and dynamics.

Conclusions:

  • The paper serves as a foundational resource for understanding path planning algorithms.
  • The classification aids in selecting appropriate algorithms for various robotic applications.
  • The study highlights the importance of environmental and robot-specific factors in path planning.