Fanuc Corporation

Hideki Otsuki

Masao Kamiguchi

Yoshito Miyazaki

Kouji Hada

Hiroshi Abe

Hitoshi Hirota

Susumu Itou

Yuuta Kobayashi

Akihide Nagamine

A recognition device includes: an image generator configured to acquire a control signal for displaying an image on a display device of a machine tool, the control signal being output from a display control device of the machine tool, and generate an image to be displayed on the display device, based on the acquired control signal; and an information generator configured to recognize at least one of state and control content of the machine tool, contained in the image, and generate machine information.

Recognition device, system and recognition method

A machine learning device includes: a state observation unit that observes component arrangement data representing an arrangement of components on a component serving place, component data representing information of the components, and operator status data representing status information of an operator, as state variables representing a current state of an environment; a determination data acquisition unit that acquires product quality determination data for determining quality of the product which is assembled based on an arrangement of the components and takt time determination data for determining takt time for assembly of the product as determination data; and a learning unit that performs learning based on the state variables and the determination data in a manner to associate information of the components used for assembling the product and status information of the operator with respect to an arrangement of the components on the component serving place.

Control device and machine learning device

A controller includes a machine learning device that learns an operating parameter for an operation of bonding a radiation plate by a robot. The machine learning device observes operating parameter data and heat conductor state data as state variables that express a current state of an environment. In addition, the machine learning device acquires determination data indicating a propriety determination result of the operation of bonding the radiation plate, and learns the operating parameter in association with the heat conductor state data, using the state variables and the determination data.

Controller and machine learning device

A high-speed converter includes at least one converter among a first converter for converting an analog signal into a digital value; a second converter for converting a digital value into an analog signal; a third converter for converting an electrical signal into a digital signal; and a fourth converter for converting a digital signal into an electrical signal, and causes the at least one converter to operate by a method based on information acquired via a network.

High-speed converter, measurement system, and computer-readable medium

A numerical control apparatus which enables a numerical control apparatus for a machine tool suitable for executing a particular machining program to selectively execute the machining program. The numerical control apparatus includes a storage that stores unique information; a receiving part that receives a machining program including incidental information; a determination part that checks the incidental information included in the machining program received by the receiving part with the unique information stored in the storage, and determines whether information matching the unique information is included in the incidental information; and a machine controller that executes the machining program received by the receiving part to control the machine tool only when it is determined that information matching the unique information is included in the incidental information.

Growing community of inventors

Yamanashi, Japan

Hideki Otsuki