- 专利标题： Artificial intelligence system for modeling and evaluating robotic success at task performance
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申请号： US15803621申请日： 2017-11-03
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公开(公告)号： US10766137B1公开(公告)日： 2020-09-08
- 发明人: Brandon William Porter , Leonardo Ruggiero Bachega , Brian C. Beckman , Benjamin Lev Snyder , Michael Vogelsong , Corrinne Yu
- 申请人： Amazon Technologies, Inc.
- 申请人地址： US WA Seattle
- 专利权人： Amazon Technologies, Inc.
- 当前专利权人： Amazon Technologies, Inc.
- 当前专利权人地址： US WA Seattle
- 代理机构： Knobbe, Martens, Olson & Bear, LLP
- 主分类号： B25J9/16
- IPC分类号： B25J9/16 ; G06N3/08 ; G06N3/04
摘要：
A machine learning system builds and uses computer models for identifying how to evaluate the level of success reflected in a recorded observation of a task. Such computer models may be used to generate a policy for controlling a robotic system performing the task. The computer models can also be used to evaluate robotic task performance and provide feedback for recalibrating the robotic control policy.
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