RoboCup represents an International testbed for advancing research in AI and robotics, focusing on a definite goal: developing a robot team that can win against the human world soccer champion team by the year 2050. To achieve this goal, autonomous humanoid robots' coordination is crucial. This paper explores novel solutions within the RoboCup Standard Platform League (SPL), where a reduction in WiFi communication is imperative, leading to the development of new coordination paradigms. The SPL has experienced a substantial decrease in network packet rate, compelling the need for advanced coordination architectures to maintain optimal team functionality in dynamic environments. Inspired by market-based task assignment, we introduce a novel distributed coordination system to orchestrate autonomous robots' actions efficiently in low communication scenarios. This approach has been tested with NAO robots during official RoboCup competitions and in the SimRobot simulator, demonstrating a notable reduction in task overlaps in limited communication settings.

翻译：RoboCup是推动人工智能与机器人学研究的国际基准测试平台，其明确目标是：在2050年前开发出能够击败人类世界足球冠军队的机器人团队。为实现这一目标，自主人形机器人的协调至关重要。本文探索了RoboCup标准平台联盟（SPL）中的新型解决方案——在该联盟中，WiFi通信的压缩成为必然要求，从而催生了新型协调范式的开发。由于SPL联盟中网络数据包速率大幅下降，亟需先进的协调架构以在动态环境中维持最优团队性能。受基于市场机制的任务分配启发，我们提出了一种新颖的分布式协调系统，能够在低通信场景下有效编排自主机器人的行为。该系统已在NAO机器人参与的官方RoboCup竞赛及SimRobot仿真器中进行测试，结果表明在通信受限环境中任务重叠显著减少。