Knowledge Retrieval for Robotic Cooking
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Abstract (arXiv)
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.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 13 references that are in the map. First posted on arXiv 8 Nov 2022.
Builds on
4 of 13 references.
References · 4
- 2019Functional Object-Oriented Network for Manipulation Learningcited by 27
- 2018Functional Object-Oriented Network: Construction & Expansioncited by 16
- 2022Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cookingcited by 13
- 2021Evaluating Recipes Generated from Functional Object-Oriented Networkcited by 7
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