论文标题
Pac-Man Pete：在Vex Robotics中建造AI的可扩展框架
Pac-Man Pete: An extensible framework for building AI in VEX Robotics
论文作者
论文摘要
该技术报告详细介绍了Vex Robotics Blrsai为Vex Robotics的临界点AI竞赛提供了完全自主的机器人的开发。我们识别并开发三个独立的关键组件。这包括统一模拟和强化学习模型培训管道，可延展的计算机视觉管道以及数据传输管道，以将大型计算从VEX V5 Brain/Micro-Controller卸载到外部计算机。我们使社区访问所有这些组件，希望它们能够在将来重新使用和改进它们，并且它将引发自主权的新想法，以及在教育机器人技术中为AI的必要基础设施和计划。
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.
