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.
翻译:机器人可以完成所有人类完成的任务,但由于他们目前缺乏知识,有些任务仍然不能由他们完成,并且取得了高度的成功。然而,如果掌握了正确的知识,这些任务可以由成功程度很高的机器人完成,从而减少完成日常任务所需的人力投入。本文讨论了介绍机器人行动成功率的FOON。功能性物体导向网络(FOON)是一个以图形形式呈现的象征性任务规划的知识代表。它展示了FOON在开发利用从各种来源获得的知识解决问题的新颖和适应性方法方面的适应性。图表检索方法展示了从FOON产生操纵动作序列以达到预期目标。结果用FOON创建的运动序列来说明结果,以便在模拟环境中完成预期目标。