Knowledge Retrieval for Robotic Cooking
Abstract
Search algorithms are applied where data retrieval with specified specifications is required. The motivation behind developing search algorithms in Functional Object-Oriented Networks is that most of the time, a certain recipe needs to be retrieved or ingredients for a certain recipe needs to be determined. According to the introduction, there is a time when execution of an entire recipe is not available for a robot thus prompting the need to retrieve a certain recipe or ingredients. With a quality FOON, robots can decipher a task goal, find the correct objects at the required states on which to operate and output a sequence of proper manipulation motions. This paper shows several proposed weighted FOON and task planning algorithms that allow a robot and a human to successfully complete complicated tasks together with higher success rates than a human doing them alone.
Cite
@article{arxiv.2211.04524,
title = {Knowledge Retrieval for Robotic Cooking},
author = {Kundana Mandapaka},
journal= {arXiv preprint arXiv:2211.04524},
year = {2022}
}
Comments
3 pages, 1 figure, and 2 tables; modified references