Learning device, learning method, learning model, detection device and grasping system
AssigneePreferred Networks, Inc.
InventorsHitoshi Kusano, Ayaka Kume, Eiichi Matsumoto
Life of this patent
Estimating the term…
Abstract
An estimation device includes a memory and at least one processor. The at least one processor is configured to acquire information regarding a target object. The at least one processor is configured to estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object. The estimation is based on an output of a neural model having as an input the information regarding the target object. The estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.
Claims24
A system comprising:
- an end effector configured to manipulate an object;
- at least one processor configured to generate, by inputting information of the object into a neural network model, information of at least one of a location or a posture for manipulating the object by the end effector;
- wherein the end effector manipulates the object based on the generated information, and
- the neural network model is learned by using data generated based on at least one of a virtual object or an augmented object.
A method of learning a neural network model which is inputted information of an object to output information of at least one of a location or a posture for manipulating the object by an end effector comprising:
- learning, by one or more processors, the neural network model based on data generated by using at least one of a virtual object or an augmented object.
A manipulating method comprising:
- inputting, by one or more processors, information of an object into a neural network model that has been learned using at least one of a virtual object or an augmented object;
- generating, by the one or more processors, information of at least one of a location or a posture for manipulating the object by an end effector;
- manipulating, by the one or more processors, the object by the end effector based on the generated information.
A non-transitory computer readable medium storing therein a program which executes a method, when executed by one or more processors, the method comprising:
- inputting information of an object into a neural network model that has been learned using at least one of a virtual object or an augmented object;
- generating information of at least one of a location or a posture for manipulating the object by an end effector;
- and
- manipulating the object by the end effector based on the generated information.
Dependencies are inferred from the claim text.