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December 5, 2025Robotica

Application of improved ant colony algorithm fusing Bresenham and direction factor in mobile robot path planning

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Authors

SWShuai WuCity College of Dongguan University of TechnologyZHZibo HuangWuhan Polytechnic UniversityXYXu YangNanyang Technological University

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Implication

This algorithm improves convergence and operational efficiency in mobile robot path planning, reducing turning points and local optima.

Key Points

  • Performance metrics indicate significant advancement in efficiency for the ant colony algorithm, enhancing path planning outcomes.
  • Convergence rates improved markedly in mobile robot path planning, allowing for smoother routes with fewer turning points.
  • The study employs an enhanced ant colony algorithm using smoothing strategies to optimize motion paths for robots in simulated environments.
  • The findings highlight increased operational efficiency and reduced local optima engagement during mobile robot navigation.

Cite This Study

Wu et al. (2025) studied this question.

synapsesocial.com/papers/6940224e2d562116f28fc091https://doi.org/10.1017/s0263574725102932
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