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A Simulation Environment for Middle-Size Robots with Multi-level Abstraction

机译:多级抽象中型机器人的仿真环境

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Larger fields in the Middle-size league as well as the effort to build mixed teams from different universities require a simulation environment which is capable to physically correctly simulate the robots and the environment. A standardized simulation environment has not yet been proposed for this league. In this paper we present our simulation environment, which is based on the Gazebo system. We show how typical Middle-size robots with features like omni-drives and omni-directional cameras can be modeled with relative ease. In particular, the control software for the real robots can be used with few changes, thus facilitating the transfer of results obtained in simulation back to the robots. We address some technical issues such as adapting time-triggered events in the robot control software to the simulation, and we introduce the concept of multi-level abstractions. The latter allows switching between faithful but computionally expensive sensor models and abstract but cheap approximations. These abstractions are needed especially when simulating whole teams of robots.
机译:中小型联盟的较大领域以及从不同大学构建混合团队的努力需要一个能够物理正确模拟机器人和环境的模拟环境。该联盟尚未提出标准化的模拟环境。在本文中,我们提供了我们的模拟环境,基于凉亭系统。我们展示了如何为全驾驶和全方位相机等功能的典型中型机器人可以相对容易地建模。特别地,用于真实机器人的控制软件可以使用少量改变,从而促进在模拟中获得的结果转移回机器人。我们解决了一些技术问题,例如将机器人控制软件中的时间触发事件调整为模拟,我们介绍了多级抽象的概念。后者允许在忠诚但是卷积昂贵的传感器模型之间切换和摘要但廉价的近似。特别是在模拟机器人的整个团队时需要这些抽象。

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