Physically Consistent Preferential Bayesian Optimization for Food Arrangement-Reference-Cited by-同舟云学术

Physically Consistent Preferential Bayesian Optimization for Food Arrangement

Published:2022-10 Issue:4 Volume:7 Page:11863-11870
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Kwon Yuhwan¹^ORCID,Tsurumine Yoshihisa¹^ORCID,Shimmura Takeshi²,Kawamura Sadao³,Matsubara Takamitsu¹^ORCID

Affiliation:

1. Department of Science and Technology, Graduate School of Science and Technology, Nara Institute of Science and Technology, Nara, Japan

2. Ganko Food Service Co., Ltd., Osaka, Japan

3. Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, Shiga, Japan

Funder

New Energy and Industrial Technology Development Organization

Cross-ministerial Strategic Innovation Promotion Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09894665.pdf?arnumber=9894665

Reference26 articles.

1. A Survey on Food Computing

2. Improving Robotic Cooking Using Batch Bayesian Optimization

3. Active preference learning with discrete choice data;eric;Proc Adv Neural Inf Process Syst,0

4. Sequential gallery for interactive visual design optimization

5. Active Preference-Based Learning of Reward Functions

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