Invention Grant
- Patent Title: Optimizing policy controllers for robotic agents using image embeddings
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Application No.: US16649596Application Date: 2018-09-20
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Publication No.: US11559887B2Publication Date: 2023-01-24
- Inventor: Yevgen Chebotar , Pierre Sermanet , Harrison Lynch
- 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.
- International Application: PCT/US2018/052078 WO 20180920
- International Announcement: WO2019/060632 WO 20190328
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G05B13/02 ; G06N3/08 ; B25J9/16

Abstract:
There are provided systems, methods, and apparatus, for optimizing a policy controller to control a robotic agent that interacts with an environment to perform a robotic task. One of the methods includes optimizing the policy controller using a neural network that generates numeric embeddings of images of the environment and a demonstration sequence of demonstration images of another agent performing a version of the robotic task.
Public/Granted literature
- US20200276703A1 OPTIMIZING POLICY CONTROLLERS FOR ROBOTIC AGENTS USING IMAGE EMBEDDINGS Public/Granted day:2020-09-03
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