Selecting an optimal robot and configuring it for a given task is currently mostly done by human expertise or trial and error. To evaluate the automatic selection and adaptation of robots to specific tasks, we introduce a benchmark suite encompassing a common format for robots, environments, and task descriptions. Our benchmark suite is especially useful for modular robots, where the configuration of the robots themselves creates a host of additional parameters to optimize. The benchmark defines this optimization problem and facilitates the comparison of solution algorithms. All benchmarks are accessible through cobra.cps.cit.tum.de, a website to conveniently share, reference, and compare solutions.
翻译:为特定任务选择最佳机器人并将其配置为当前大多由人的专门知识或试验和错误完成。为了评价机器人的自动选择和适应特定任务,我们引入了包含机器人、环境和任务描述共同格式的基准套件。我们的基准套件对模块机器人特别有用,因为机器人本身的配置为优化创造了一系列额外参数。基准定义了优化问题,并为比较解决方案算法提供了便利。所有基准都可以通过 cobra.cps.cit.tum.de (一个方便共享、引用和比较解决方案的网站) 获得 。