Control device and machine learning device
AssigneeFanuc Corporation
InventorHiroshi Abe
Life of this patent
Estimating the term…
Abstract
A control device and a machine learning device enable control for gripping an object having small reaction force. The machine learning device included in the control device includes a state observation unit that observes gripping object shape data related to a shape of the gripping object as a state variable representing a current state of an environment, a label data acquisition unit that acquires gripping width data, which represents a width of the hand of the robot in gripping the gripping object, as label data, and a learning unit that performs learning by using the state variable and the label data in a manner to associate the gripping object shape data with the gripping width data.
Claims7
A control device that estimates a gripping width of a hand of a robot in gripping a gripping object having small reaction force, the control device comprising:
- a machine learning device that learns estimation for the gripping width of the hand of the robot in gripping the gripping object, with respect to a shape of the gripping object;
- a state observation unit that observes gripping object shape data and peripheral state data including at least ambient humidity related to the shape of the gripping object as a state variable representing a current state of an environment;
- a label data acquisition unit that acquires gripping width data, the gripping width data representing the gripping width of the hand of the robot in gripping the gripping object, as label data;
- and
- a learning unit that performs learning by using the state variable and the label data in a manner to associate the gripping object shape data and the peripheral state data with the gripping width data.
A machine learning device that learns estimation for a width of a hand of a robot in gripping a gripping object with respect to a shape of the gripping object having small reaction force, the machine learning device comprising:
- a state observation unit that observes gripping object shape data and peripheral state data including at least ambient humidity related to the shape of the gripping object as a state variable representing a current state of an environment;
- a label data acquisition unit that acquires gripping width data, the gripping width data representing the width of the hand of the robot in gripping the gripping object, as label data;
- and
- a learning unit that performs learning by using the state variable and the label data in a manner to associate the gripping object shape data and the peripheral state data with the gripping width data.
Dependencies are inferred from the claim text.