- 专利标题: Online machine learning for determining soil parameters
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申请号: US17359428申请日: 2021-06-25
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公开(公告)号: US11346080B1公开(公告)日: 2022-05-31
- 发明人: Gaurav Jitendra Kikani , Noah Austen Ready-Campbell , Andrew Xiao Liang , Joonhyun Kim
- 申请人: Built Robotics Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Built Robotics Inc.
- 当前专利权人: Built Robotics Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Fenwick & West LLP
- 主分类号: E02F9/20
- IPC分类号: E02F9/20 ; E02F9/26 ; G06N20/00
摘要:
When an EMV performs an action comprising moving a tool of the EMV through soil or other material, the EMV can measure a current speed of the tool through the material and a current kinematic pressure exerted on the tool by the material. Using the measured current speed and kinematic pressure, the EMV system can use a machine learned model to determine one or more soil parameters of the material. The EMV can then make decisions based on the soil parameters, such as by selecting a tool speed for the EMV based on the determined soil parameters.
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