公开(公告)号：US20200241574A1

公开(公告)日：2020-07-30

申请号：US16262448

申请日：2019-01-30

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Xin Ye ,  Joon-Young Lee ,  Jianming Zhang

IPC: G05D1/12 ,  G05D1/00 ,  G05D1/02 ,  G06T7/70 ,  G06T7/10

Abstract: Systems and techniques are described that provide for generalizable approach policy learning and implementation for robotic object approaching. Described techniques provide fast and accurate approaching of a specified object, or type of object, in many different environments. The described techniques enable a robot to receive an identification of an object or type of object from a user, and then navigate to the desired object, without further control from the user. Moreover, the approach of the robot to the desired object is performed efficiently, e.g., with a minimum number of movements. Further, the approach techniques may be used even when the robot is placed in a new environment, such as when the same type of object must be approached in multiple settings.

公开(公告)号：US11449079B2

公开(公告)日：2022-09-20

申请号：US16262448

申请日：2019-01-30

Applicant: Adobe Inc.

Inventor： Zhe Lin ,  Xin Ye ,  Joon-Young Lee ,  Jianming Zhang

IPC: G05D1/00 ,  G05D1/12 ,  G05D1/02 ,  G06T7/70 ,  G06T7/10

Abstract: Systems and techniques are described that provide for generalizable approach policy learning and implementation for robotic object approaching. Described techniques provide fast and accurate approaching of a specified object, or type of object, in many different environments. The described techniques enable a robot to receive an identification of an object or type of object from a user, and then navigate to the desired object, without further control from the user. Moreover, the approach of the robot to the desired object is performed efficiently, e.g., with a minimum number of movements. Further, the approach techniques may be used even when the robot is placed in a new environment, such as when the same type of object must be approached in multiple settings.