Food Arrangement Framework for Cooking Robots
Author:
Affiliation:
1. Osaka University,Graduate School of Engineering Science,Department of Systems Innovation,Toyonaka,Japan,560-8531
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9863218/9863240/09863320.pdf?arnumber=9863320
Reference13 articles.
1. Classifying cooking object’s state using a tuned vgg convolutional neural network;paul;arXiv preprint arXiv 1805 09391,2018
2. Identifying object states in cooking-related images;jelodar;arXiv preprint arXiv 1805 06956,2018
3. Learning Food-arrangement Policies from Raw Images with Generative Adversarial Imitation Learning
4. SWITL,2022
5. Recognition and manipulation integration for a daily assistive robot working on kitchen environments
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Towards practical robotic chef: Review of relevant work and future challenges;Journal of Field Robotics;2024-04
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