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Simulation for the RoboCup Logistics League with Real-World Environment Agency and Multi-level Abstraction

机译:具有真实世界环境代理和多层抽象的RoboCup物流联盟模拟

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RoboCup is particularly well-known for its soccer leagues, but there are an increasing number of application leagues. The newest one is the Logistics League where groups of robots take on the task of in-factory production logistics. It has two unique aspects: a game environment which itself acts as an agent and a focus on planning and scheduling in robotics. We propose a simulation based on Gazebo that takes these into account. It uses the exact same referee box to simulate the environment reactions similar to the real game and it supports multiple levels of abstraction that allow to focus on the planning with a high level of abstraction, or to run the full system on simulated sensor data on a lower level for rapid integration testing. We envision that this simulation could be a basis for a simulation sub-league for the LLSF to attract a wider range of participants and ease entering the robot competition.
机译:RoboCup以其足球联赛而闻名,但应用联盟的数量却在不断增加。最新的一个是物流联盟,其中机器人团体承担着工厂内生产物流的任务。它有两个独特的方面:一个本身充当代理的游戏环境,以及对机器人技术的计划和调度的关注。我们建议在凉亭的基础上进行仿真,并考虑到这些因素。它使用完全相同的裁判箱来模拟与真实游戏类似的环境反应,并且支持多个抽象级别,从而可以专注于高抽象级别的计划,或者在模拟传感器数据上运行整个系统。较低级别的快速集成测试。我们设想,此模拟可以作为LLSF的模拟子联盟吸引更多参与者并轻松进入机器人竞赛的基础。

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