公开(公告)号：US20240190004A1

公开(公告)日：2024-06-13

申请号：US18582266

申请日：2024-02-20

Applicant: GOOGLE LLC

Inventor： Yunfei Bai ,  Tigran Gasparian ,  Brent Austin ,  Andreas Christiansen ,  Matthew Bennice ,  Paul Bechard

IPC: B25J9/16

CPC classification number: B25J9/1671 ,  B25J9/1661 ,  B25J9/1697

Abstract: Active utilization of a robotic simulator in control of one or more real world robots. A simulated environment of the robotic simulator can be configured to reflect a real world environment in which a real robot is currently disposed, or will be disposed. The robotic simulator can then be used to determine a sequence of robotic actions for use by the real world robot(s) in performing at least part of a robotic task. The sequence of robotic actions can be applied, to a simulated robot of the robotic simulator, to generate a sequence of anticipated simulated state data instances. The real robot can be controlled to implement the sequence of robotic actions. The implementation of one or more of the robotic actions can be contingent on a real state data instance having at least a threshold degree of similarity to a corresponding one of the anticipated simulated state data instances.

公开(公告)号：US11938638B2

公开(公告)日：2024-03-26

申请号：US17337815

申请日：2021-06-03

Applicant: GOOGLE LLC

Inventor： Yunfei Bai ,  Tigran Gasparian ,  Brent Austin ,  Andreas Christiansen ,  Matthew Bennice ,  Paul Bechard

IPC: B25J9/16

CPC classification number: B25J9/1671 ,  B25J9/1661 ,  B25J9/1697

Abstract: Active utilization of a robotic simulator in control of one or more real world robots. A simulated environment of the robotic simulator can be configured to reflect a real world environment in which a real robot is currently disposed, or will be disposed. The robotic simulator can then be used to determine a sequence of robotic actions for use by the real world robot(s) in performing at least part of a robotic task. The sequence of robotic actions can be applied, to a simulated robot of the robotic simulator, to generate a sequence of anticipated simulated state data instances. The real robot can be controlled to implement the sequence of robotic actions. The implementation of one or more of the robotic actions can be contingent on a real state data instance having at least a threshold degree of similarity to a corresponding one of the anticipated simulated state data instances.