Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-Box Optimization-Reference-Cited by-同舟云学术

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Continuous Object State Recognition for Cooking Robots Using Pre-Trained Vision-Language Models and Black-Box Optimization

Published:2024-05 Issue:5 Volume:9 Page:4059-4066
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Kawaharazuka Kento¹^ORCID,Kanazawa Naoaki¹^ORCID,Obinata Yoshiki¹^ORCID,Okada Kei¹^ORCID,Inaba Masayuki¹^ORCID

Affiliation:

1. Department of Mechano-Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

Funder

JST ACT-X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7083369/10474437/10465607.pdf?arnumber=10465607

Reference18 articles.

1. Model-based recognition in robot vision

2. Door detection in 3D coloured point clouds of indoor environments

3. VQA-based Robotic State Recognition Optimized with Genetic Algorithm

4. Robotic roommates making pancakes

5. Improving Robotic Cooking Using Batch Bayesian Optimization

Cited by 2 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. Robotic environmental state recognition with pre-trained vision-language models and black-box optimization;Advanced Robotics;2024-06-28

2. Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18

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