ONLINE MACHINE LEARNING FOR AUTONOMOUS EARTH MOVING VEHICLE CONTROL

An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to gener...

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Bibliographic Details
Main Authors Kim, Joonhyun, Kikani, Gaurav Jitendra, Ready-Campbell, Noah Austen, Liang, Andrew Xiao
Format Patent
LanguageEnglish
Published 31.10.2024
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONTROLLING
COUNTING
PHYSICS
REGULATING
SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
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Summary:An autonomous earth moving system can determine a desired state for a portion of the EMV including at least one control surface. Then the EMV selects a set of control signals for moving the portion of the EMV from the current state to the desired state using a machine learning model trained to generate control signals for moving the portion of the EMV to the desired state based on the current state. After the EMV executes the selected set of control signals, the system measures an updated state of the portion of the EMV. In some cases, this updated state of the EMV is used to iteratively update the machine learning model using an online learning process.
Bibliography:Application Number: US202418767263