基于功能面向对象网络的知识检索
Knowledge Retrieval using Functional Object-Oriented Network
摘要：
机器人可以完成所有人类执行的任务，但由于它们目前缺乏知识，一些任务仍然无法由它们完成并获得高度成功。然而，有了正确的知识，这些任务可以由机器人以高度的成功率完成，减少了完成日常任务所需的人力。本文讨论了描述机器人动作成功率的FOON。功能面向对象网络（FOON）是一种用于符号任务规划的知识表示，它采用图形的形式。它是展示FOON的适应性，在开发一种新的和自适应的方法来解决问题，利用从各种来源获得的知识，图形检索方法，以产生操纵运动序列的FOON，以实现所需的目标。使用FOON创建的运动序列来说明结果，以在模拟环境中完成所需的目标。
英文摘要：
Robots can complete all human-performed tasks, but due to their current lack of knowledge, some tasks still cannot be completed by them with a high degree of success. However, with the right knowledge, these tasks can be completed by robots with a high degree of success, reducing the amount of human effort required to complete daily tasks. In this paper, the FOON, which describes the robot action success rate, is discussed. The functional object-oriented network (FOON) is a knowledge representation for symbolic task planning that takes the shape of a graph. It is to demonstrate the adaptability of FOON in developing a novel and adaptive method of solving a problem utilizing knowledge obtained from various sources, a graph retrieval methodology is shown to produce manipulation motion sequences from the FOON to accomplish a desired aim. The outcomes are illustrated using motion sequences created by the FOON to complete the desired objectives in a simulated environment.
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。
