Invention Publication
- Patent Title: OPTIMIZING POLICY CONTROLLERS FOR ROBOTIC AGENTS USING IMAGE EMBEDDINGS
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Application No.: US18157919Application Date: 2023-01-23
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Publication No.: US20230150127A1Publication Date: 2023-05-18
- 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
- Main IPC: B25J9/16
- IPC: B25J9/16 ; G06N20/00 ; G05B13/02 ; G06N3/084

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
- US12240117B2 Optimizing policy controllers for robotic agents using image embeddings Public/Granted day:2025-03-04
Information query
IPC分类: