This technical report details VEX Robotics team BLRSAI's development of a fully autonomous robot for VEX Robotics' Tipping Point AI Competition. We identify and develop three separate critical components. This includes a Unity simulation and reinforcement learning model training pipeline, a malleable computer vision pipeline, and a data transfer pipeline to offload large computations from the VEX V5 Brain/micro-controller to an external computer. We give the community access to all of these components in hopes they can reuse and improve upon them in the future, and that it'll spark new ideas for autonomy as well as the necessary infrastructure and programs for AI in educational robotics.
翻译：本技术报告详细介绍了VEX机器人小组BLRSAI开发一个完全自主的机器人,用于VEX机器人的提普点AI竞赛,我们确定并开发了三个不同的关键组成部分,其中包括团结模拟和强化学习模式培训管道、可移动的计算机视觉管道以及将VEX V5脑/微控制器的大型计算器卸载到外部计算机的数据传输管道。我们让社区能够使用所有这些部件,希望它们能够再利用并在今后加以改进,这将为自主以及教育机器人方面必要的基础设施和AI方案带来新的想法。
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