A comparative study of the performance of different search algorithms on FOON graphs
Robotics
2022-12-16 v3
Abstract
A robot finds it really hard to learn creatively and adapt to new unseen challenges. This is mainly because of the minimal information it has access to or experience towards. Paulius et al. [1] presented a way to construct functional graphs that encapsulate. Sakib et al. [2] further expanded FOON objects for robotic cooking. This paper presents a comparative study of Breadth First Search (BFS), Greedy Breadth First search (GBFS) with two heuristic functions, and Iterative Depth First Search (IDFS) and provides a comparison of their performance.
Keywords
Cite
@article{arxiv.2210.07428,
title = {A comparative study of the performance of different search algorithms on FOON graphs},
author = {Kumar Shashwat},
journal= {arXiv preprint arXiv:2210.07428},
year = {2022}
}
Comments
This was submitted as part of a course I took while studying at USF