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Virtual local target method for avoiding local minimum in potential field based robot navigation.

Xi-Yong Zou1, Jing Zhu

  • 1College of Electrical Engineering, National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China. zouxiyong@163.net

Journal of Zhejiang University. Science
|May 27, 2003
PubMed
Summary

This study introduces a new robot navigation algorithm that overcomes local minima, a common issue in potential field navigation. By strategically using virtual local targets, robots can effectively navigate complex environments and reach their global goals.

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Navigation Systems

Background:

  • Potential field-based robot navigation frequently encounters the intractable problem of local minima.
  • Local minima can trap robots, preventing them from reaching their global destinations.

Purpose of the Study:

  • To present a novel robot navigation algorithm with global path generation capability.
  • To effectively solve the local minimum problem in robot navigation.

Main Methods:

  • The algorithm introduces virtual local targets to circumvent local minima.
  • Rules are defined for when and how to appoint these virtual local targets.
  • When a local minimum is detected, a virtual target temporarily replaces the global goal.

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Main Results:

  • The proposed algorithm effectively prevents robots from getting stuck in local minima.
  • Simulation results demonstrate high effectiveness in complex obstacle environments.
  • The robot successfully continues towards its global goal after reaching virtual targets.

Conclusions:

  • The novel algorithm provides an effective solution for robot navigation in environments with local minima.
  • This approach enhances the reliability and efficiency of robot path planning.
  • The method shows significant promise for real-world applications in complex terrains.