论文标题
机器人烹饪的任务树检索
Task Tree Retrieval for Robotic Cooking
论文作者
论文摘要
机器人技术用于促进创造力。根据情况，人类可以以独特的方式执行工作。这种情况适用于食物烹饪。厨房中的机器人技术可以加快流程并减少其工作量。但是，厨房里机器人技术的潜力仍然未实现。在本文中，引入了基于人类操纵的见解的结构知识表示的思想。为了降低故障率并确保任务有效地完成，已经实施了三种不同的算法，在将加权值分配给操作的情况下，取决于运动的成功率。这些知识表示是使用开源食谱的视频创建的
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
