Invention Grant
- Patent Title: Using simulation and domain adaptation for robotic control
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Application No.: US16649599Application Date: 2018-09-20
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Publication No.: US11341364B2Publication Date: 2022-05-24
- Inventor: Konstantinos Bousmalis , Alexander Irpan , Paul Wohlhart , Yunfei Bai , Mrinal Kalakrishnan , Julian Ibarz , Sergey Vladimir Levine , Kurt Konolige , Vincent O. Vanhoucke , Matthew Laurance Kelcey
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Priority: GR20170100421 20170920
- International Application: PCT/US2018/052069 WO 20180920
- International Announcement: WO2019/060626 WO 20190328
- Main IPC: G06K9/62
- IPC: G06K9/62 ; B25J9/16 ; G06N3/04 ; G06N3/08
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an action selection neural network that is used to control a robotic agent interacting with a real-world environment.
Public/Granted literature
- US20200279134A1 USING SIMULATION AND DOMAIN ADAPTATION FOR ROBOTIC CONTROL Public/Granted day:2020-09-03
Information query
