Robotics is used to foster creativity. Humans can perform jobs in their unique manner, depending on the circumstances. This situation applies to food cooking. Robotic technology in the kitchen can speed up the process and reduce its workload. However, the potential of robotics in the kitchen is still unrealized. In this essay, the idea of FOON, a structural knowledge representation built on insights from human manipulations, is introduced. To reduce the failure rate and ensure that the task is effectively completed, three different algorithms have been implemented where weighted values have been assigned to the manipulations depending on the success rates of motion. This knowledge representation was created using videos of open-sourced recipes
翻译:机器人被用于培养创造力。 人类可以根据具体情况以独特的方式从事工作。 这种情况适用于烹饪食品。 厨房的机器人技术可以加快工艺过程并减少其工作量。 但是,厨房机器人的潜力仍未实现。 在本论文中,引入了FOON的概念,即基于人类操作的洞察力的结构性知识代表。为了降低故障率并确保任务有效完成,在根据运动成功率为操纵分配加权值的情况下,采用了三种不同的算法。 这种知识代表是使用开放源食谱视频创建的。