论文标题
使用面向对象的网络检索知识检索
Knowledge Retrieval using Functional Object-Oriented Network
论文作者
论文摘要
机器人可以完成所有人类绩效的任务，但是由于目前缺乏知识，某些任务仍然无法获得很高的成功。但是，凭借正确的知识，这些任务可以由具有高度成功的机器人完成，从而减少了完成日常任务所需的人力努力。在本文中，讨论了描述机器人动作成功率的Foon。面向对象的网络（FOON）是符号任务规划的知识表示，其形状为图。它是为了证明Foon在开发一种利用从各种来源获得的知识的新型和适应性方法的方法中的适应性，显示出图检索方法可以从Foon产生操纵运动序列，以实现所需的目标。使用FOON创建的运动序列来说明结果，以完成模拟环境中所需的目标。
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.
