- 专利标题: Optimization of robot control programs in physics-based simulated environment
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申请号: US15614489申请日: 2017-06-05
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公开(公告)号: US09811074B1公开(公告)日: 2017-11-07
- 发明人: Fabian Aichele , Albert Groz
- 申请人: TruPhysics GmbH
- 申请人地址: DE Stuttgart
- 专利权人: TruPhysics GmbH
- 当前专利权人: TruPhysics GmbH
- 当前专利权人地址: DE Stuttgart
- 代理商 Georgiy L. Khayet
- 主分类号: G06F19/00
- IPC分类号: G06F19/00 ; G05B19/4069 ; G06N7/04 ; B25J9/16
摘要:
A disclosed system includes a physically plausible virtual runtime environment to simulate a real-life environment for a simulated robot and a test planning and testing component to define a robotic task and generate virtual test cases for the robotic task. The test planning and testing component is further operable to generate virtual test cases for the robotic task, determine a control strategy for executing the virtual test cases, and create the physics-based simulated environment. The system further includes a robot controller operable to execute the virtual test cases in parallel in the physics-based simulated environment, measure a success of the execution, and store training and validation data to a historical database to train a machine learning algorithm. The robot controller may continuously execute the virtual test cases and use the machine learning algorithm to adjust parameters of the control strategy until optimal test cases are determined.
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