ONLINE MACHINE LEARNING FOR DETERMINING SOIL PARAMETERS

Patent №

US 11,634,888

Granted

2023-04-25

Filed 2022

Owner

BUILT ROBOTICS INC.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17735905

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.

Machine learningKnowledge representationPlanningAI hardwareE02F 9/2029E02F 9/264E02F 9/205E02F 9/2203E02F 9/262E02F 9/265G06N 20/00

AI classification

Machine learning1.00
Planning0.98
AI hardware0.97
Knowledge representation0.75
Natural language0.03
Vision0.02
Evolutionary computation0.01
Speech0.00

Ownership

BUILT ROBOTICS INC.

assignment · 598400954

Assignors

KIKANI, GAURAV JITENDRA, READY-CAMPBELL, NOAH AUSTEN, LIANG, ANDREW XIAO, KIM, JOONHYUN

On an employer assignment, the assignors are typically the inventors.

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