Search algorithms are applied where data retrieval with specified specifications is required. The motivation behind developing search algorithms in Functional Object-Oriented Networks is that most of the time, a certain recipe needs to be retrieved or ingredients for a certain recipe needs to be determined. According to the introduction, there is a time when execution of an entire recipe is not available for a robot thus prompting the need to retrieve a certain recipe or ingredients. With a quality FOON, robots can decipher a task goal, find the correct objects at the required states on which to operate and output a sequence of proper manipulation motions. This paper shows several proposed weighted FOON and task planning algorithms that allow a robot and a human to successfully complete complicated tasks together with higher success rates than a human doing them alone.
翻译:在需要使用特定规格的数据检索时应用搜索算法。在功能对象导向网络中开发搜索算法背后的动机是,大部分时间、需要检索某种配方或需要确定某种配方的成分。根据导言,对于机器人来说,整个配方都无法使用,这就需要检索某种配方或成分。有了高质量的FOON,机器人可以破译任务目标,在需要运行和输出正确操作动作序列的州找到正确对象。本文展示了几项拟议的加权FOON和任务规划算法,允许机器人和人类成功完成复杂任务,同时成功率高于单人完成这些任务的成功率。