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公开(公告)号:US20230311335A1
公开(公告)日:2023-10-05
申请号:US18128953
申请日:2023-03-30
Applicant: GOOGLE LLC
Inventor: Karol Hausman , Brian Ichter , Sergey Levine , Alexander Toshev , Fei Xia , Carolina Parada
CPC classification number: B25J13/003 , B25J11/0005 , B25J9/163 , B25J9/161 , G06F40/40
Abstract: Implementations process, using a large language model, a free-form natural language (NL) instruction to generate to generate LLM output. Those implementations generate, based on the LLM output and a NL skill description of a robotic skill, a task-grounding measure that reflects a probability of the skill description in the probability distribution of the LLM output. Those implementations further generate, based on the robotic skill and current environmental state data, a world-grounding measure that reflects a probability of the robotic skill being successful based on the current environmental state data. Those implementations further determine, based on both the task-grounding measure and the world-grounding measure, whether to implement the robotic skill.