CoachAI+ Badminton Environment: Realistic Badminton Game Simulator for Enhancing Player Performance

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Authors

Peng, Wen-Chih; Wang, Kuang-Da; Chien, Yen-Che; Xie, Bo-Zhou; Chen, Yu-An; Tsai, Cheng-Shiuan; Doong, Shao-Jyun; Hung, Jun-Chen

Abstract

This paper presents CoachAI+, an AI-driven badminton simulation environment designed to enhance player performance through realistic modeling and actionable insights. Key contributions include RallyNetv2 for accurate rally reconstruction and virtual player simulation, rule-based constraints for realistic match scenarios, and an evaluation system providing strategic insights such as win probabilities, shot influence, and tactical pattern analysis. CoachAI+ bridges the gap between AI analytics and practical applications, offering a powerful tool for training and performance optimization.