基于功能面向对象网络的配方评价
Evaluating Recipes Generated from Functional Object-Oriented Network
摘要：
功能面向对象网络（FOON）已被引入作为一个知识表示，它采取了一个图形的形式，符号任务规划。为了得到一个顺序计划的操作任务，机器人可以获得一个任务树，通过知识检索过程从FOON。为了评估所获得的任务树的质量，我们将其与传统形式的任务知识（如配方或手册）进行比较。我们首先自动将任务树转换为食谱，然后通过调查将它们与Recipe1M+数据集中的人类创建的食谱进行比较。我们的初步研究发现，Recipe1M+中的食谱和FOON任务树生成的食谱在正确性、完整性和清晰度方面没有显著差异。
英文摘要：
The functional object-oriented network (FOON) has been introduced as a knowledge representation, which takes the form of a graph, for symbolic task planning. To get a sequential plan for a manipulation task, a robot can obtain a task tree through a knowledge retrieval process from the FOON. To evaluate the quality of an acquired task tree, we compare it with a conventional form of task knowledge, such as recipes or manuals. We first automatically convert task trees to recipes, and we then compare them with the human-created recipes in the Recipe1M+ dataset via a survey. Our preliminary study finds no significant difference between the recipes in Recipe1M+ and the recipes generated from FOON task trees in terms of correctness, completeness, and clarity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
