mlsanityData to 7 Oct 2026

FOON Creation and Traversal for Recipe Generation

arXiv 2210.07335 ↗First posted 13 Oct 2022cs.RO cs.AIcited by 0

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Abstract (arXiv)

Task competition by robots is still off from being completely dependable and usable. One way a robot may decipher information given to it and accomplish tasks is by utilizing FOON, which stands for functional object-oriented network. The network first needs to be created by having a human creates action nodes as well as input and output nodes in a .txt file. After the network is sizeable, utilization of this network allows for traversal of the network in a variety of ways such as choosing steps via iterative deepening searching by using the first seen valid option. Another mechanism is heuristics, such as choosing steps based on the highest success rate or lowest amount of input ingredients. Via any of these methods, a program can traverse the network given an output product, and derive the series of steps that need to be taken to produce the output.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 13 Oct 2022.

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3 of 4 references.

References · 3

  1. 2019Functional Object-Oriented Network for Manipulation Learningcited by 27
  2. 2022Approximate Task Tree Retrieval in a Knowledge Network for Robotic Cookingcited by 13
  3. 2021Evaluating Recipes Generated from Functional Object-Oriented Networkcited by 7

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