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.
Claims20
An estimation device, comprising
- at least one memory;
- and
- at least one processor configured to:
- acquire information regarding a target object, and
- estimate information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object, wherein the estimation is based on an output of a neural network model having as an input the information regarding the target object,
- wherein the estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.
A learning device, comprising
- at least one memory, and
- at least one processor configured to learn a learning model which is represented by a neural network model, the learning model having as an input information regarding a target object and as an output information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object, wherein
- the output information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.
An estimation method, comprising:
- acquiring, by at least one processor, information regarding a target object;
- and
- estimating, by the at least one processor, information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object, based on an output of a neural network model having as an input the information regarding the target object,
- wherein the estimated information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.
A learning method, comprising:
- learning, by at least one processor, a learning model which is represented by a neural network model, the learning model having as an input information regarding a target object and as an output information regarding a location and a posture of a gripper relating to where the gripper is able to grasp the target object,
- wherein the output information regarding the posture includes information capable of expressing a rotation angle around a plurality of axes.
Dependencies are inferred from the claim text.