Challenges’ Strategies in Virtual Robocup Standard Platform League

The RoboCup, an international competition, necessitated an innovative approach in 2022 due to its transition to an online format in China, prompted by an epidemic. This shift demanded the development of more specialized algorithms for the competition. In response to this, we devised a unique algorithm for each challenge. For Challenge 1, we implemented a streamlined greedy algorithm, which rounded the target points to minimize the total time expenditure. In Challenge 2, we adopted an automated obstacle avoidance strategy. For Challenge 3, we calculated the kick angle in real-time to enhance the synergy between the two robots, employing the Sector-angle method to select the optimal shot or pass angle. Our algorithm showed excellent results in the competition, ranking first in the country. In the practical test, our cumulative scores for the three challenges remained consistent at 163.18, 33.65, and 4.8, significantly improving from the pre-optimization scores of 196.2, 51.78, and 3.5, respectively. This indicates the precise and reliable nature of our algorithms. In particular, the sector angle method was notably influential in Challenge 3, swiftly calculating the ideal angle with exceptional accuracy. Before improvements, the algorithm in this project only managed to score 3.5, which was substantially improved post-optimization. Moving forward, these algorithms can be further optimized and adapted to meet the demands of future scenarios.