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Area of Science:

  • Robotics and Autonomous Systems
  • Ocean Engineering

Background:

  • Path planning is a fundamental challenge for mobile robots.
  • Marine applications introduce unique environmental complexities, including currents and wind, impacting navigation.
  • Existing methods often do not fully account for these dynamic marine conditions.

Purpose of the Study:

  • To propose and detail solutions for mobile robot path planning in marine environments.
  • To integrate environmental factors such as water currents into optimal path planning algorithms.
  • To extend these methods for coordinated path planning in marine robot formations.

Main Methods:

  • Utilized the Fast Marching Method (FMM) as the core algorithmic approach.
  • Developed a basic FMM for collision avoidance and optimal path generation.
  • Extended the FMM to incorporate the effects of marine currents on path planning.
  • Applied the developed methods to scenarios involving marine robot formations.

Main Results:

  • Demonstrated the effectiveness of FMM-based solutions for marine path planning.
  • Successfully integrated the influence of marine currents into optimal path calculations.
  • Showcased the adaptability of the methods for multi-robot formation planning in marine settings.

Conclusions:

  • The Fast Marching Method provides a robust framework for addressing complex marine path planning challenges.
  • Accounting for environmental dynamics like currents is crucial for efficient and safe marine robot navigation.
  • The proposed methods offer a viable approach for coordinated autonomous operations of marine robot formations.