Invention Grant
- Patent Title: Control server and method for controlling robot using artificial neural network, and robot implementing the same
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Application No.: US16774384Application Date: 2020-01-28
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Publication No.: US11458624B2Publication Date: 2022-10-04
- Inventor: Sung Gil Park , Byeonggil Yoo , Sungeun Chung , Il Hong Suh , Youngbin Park , Taewon Kim , Yeseong Park
- Applicant: LG ELECTRONICS INC. , INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY
- Applicant Address: KR Seoul; KR Seoul
- Assignee: LG ELECTRONICS INC.,INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY
- Current Assignee: LG ELECTRONICS INC.,INDUSTRY-UNIVERSITY COOPERATION FOUNDATION HANYANG UNIVERSITY
- Current Assignee Address: KR Seoul; KR Seoul
- Agency: Birch, Stewart, Kolasch & Birch, LLP
- Priority: KR10-2019-0115578 20190919
- Main IPC: B25J9/16
- IPC: B25J9/16 ; G06K9/62 ; G06N3/08

Abstract:
Disclosed herein are a control server and method for controlling a robot using an artificial neural network, and a robot implementing the same. The robot includes a driver, a processor controlling the driver using an artificial neural network-based algorithm model, and a learning processor learning the algorithm model, where the algorithm model includes a first GAN (generative adversarial network) and a second GAN, the processor generates a plurality of real-like-fake images using a first generator included in a learned first GAN, the learning processor learns a second GAN based on a plurality of random texture rendered images and the plurality of real-like-fake images, and the processor generates a canonical image by inputting a real image to a second generator included in a learned second GAN, and controls the driver using the canonical image.
Public/Granted literature
Information query
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