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July 8, 2026PLoS ONEOpen Access

Research on robot path tracking method based on IDDPG-MPC

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Authors

HSHaicheng ShenXXXun XuZMZhiqiang Miao

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Overview

Randomized trial shows improved path-following performance in unmanned surface vessels, suggesting enhanced navigation in complex marine settings.

Key Points

  • This research aims to improve path-following control methods for unmanned surface vessels in complex marine environments by combining IDDPG and MPC.
  • Developed a hybrid control architecture integrating IDDPG for decision-making and MPC for execution.
  • Utilized gradient pruning and a custom reward function to enhance algorithm training stability.
  • Evaluated control performance through metrics of lateral deviation and heading angle error.
  • Achieved a 37% reduction in average lateral deviation compared to the traditional ALOS-PID method.
  • Reduced heading angle error by 21% when implementing the proposed method.
  • Demonstrated effective adaptability over traditional control strategies in complex marine environments.

Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/6a4dea28d2ea289ef6283fcbhttps://doi.org/10.1371/journal.pone.0350307
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