Lg Electronics Inc.

Junkwan Lee

Guntae Bae

Sungjin Kim

Dongsoo Choung

Suman Bae

Jongwoo Han

Jungho Lee

A washing machine includes a case; a tub; a drum; a vibration sensor provided in the tub and configured to output a factor of a current vibration result for sensing a vibration value of the tub; a motor configured to drive the drum to process laundry; a motor control module configured to control a drum RPM to reflect a request RPM by controlling a current of the motor and output a current vibration inducing factor; an AI module configured to receive inputs of the current vibration result factor and the vibration inducing factor and output a compensating variable for proactively deal with a future vibration result that is expected based on a current laundry distribution state, in a dry-spin cycle; and a processor configured to perform a dry-spin cycle through centrifugal power of the drum by compensating the request RPM by reflecting the compensating variable in a vibration expectation section.

Washing machine and a control method of the same

A washing machine include: a case; a tub; a drum; a vibration sensor provided in the tub and configured to output a factor of a current vibration result for sensing a vibration value of the tub; a motor configured to drive the drum to process laundry; a motor control module configured to control a drum RPM to reflect a request RPM by controlling a current value of the motor and output a current vibration inducing factor; an AI module configured to receive inputs of the current vibration result factor and the vibration inducing factor and output a compensating variable for proactively deal with a future vibration result that is expected based on a current laundry distribution state, corresponding to a current laundry distribution state; and a processor configured to perform a dry-spin cycle through centrifugal power of the drum by compensating the request RPM by reflecting the compensating variable.

Provided are a mobile terminal including an artificial intelligent agent and a method for controlling a mobile terminal using machine learning. A mobile terminal comprises a microphone, a learning data unit configured to identify and store keywords and a controller configured to: activate the microphone in response to an activation event, receive a voice input via the microphone, extract vocabulary information from the received voice input and execute a control corresponding to command information included in the received voice input, wherein the executed control is varied by utilizing the keywords and the extracted vocabulary information.

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Seoul, South Korea

Junkwan Lee