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The RoboCup tournament represents a significant platform in robotics, attracting researchers worldwide. Key challenges in this competition involve coordinating intelligent agents and analyzing scenarios to improve shooting and dribbling strategies. Within the RoboCup2D simulation soccer project, Agent2D is widely utilized in China, focusing on refining strategic approaches through adjustments to defensive and offensive tactics. Through comprehensive experimentation, this study demonstrates substantial improvements in scoring rates and shooting accuracy.

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Optimization of Offensive and Defensive Strategies Based on Agent2D Underlying Team Code

  • 会议论文

  • 发表日期：

    2025年

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  • Yichao Wang,
  • Hanyu Zhang,
  • Xiongfan Zhang,
  • Yingze Yang

摘要

The RoboCup tournament represents a significant platform in robotics, attracting researchers worldwide. Key challenges in this competition involve coordinating intelligent agents and analyzing scenarios to improve shooting and dribbling strategies. Within the RoboCup2D simulation soccer project, Agent2D is widely utilized in China, focusing on refining strategic approaches through adjustments to defensive and offensive tactics. Through comprehensive experimentation, this study demonstrates substantial improvements in scoring rates and shooting accuracy.