METHODS AND APPARATUS TO TRAIN INTERDEPENDENT AUTONOMOUS MACHINES

    公开(公告)号:US20190047149A1

    公开(公告)日:2019-02-14

    申请号:US16145796

    申请日:2018-09-28

    Abstract: Methods and apparatus to train interdependent autonomous machines are disclosed. An example method includes performing an action of a first sub-task of a collaborative task with a first collaborative robot in a robotic cell while a second collaborative robot operates in the robotic cell according to a first recorded action of the second collaborative robot, the first recorded action of the second collaborative robot recorded while a second robot controller associated with the second collaborative robot is trained to control the second collaborative robot to perform a second sub-task of the collaborative task, and training a first robot controller associated with the first collaborative robot based at least on a sensing of an interaction of the first collaborative robot with the second collaborative robot while the action of the first sub-task is performed by the first collaborative robot and the second collaborative robot operates according to the first recorded action.

    Evaluating risk factors of proposed vehicle maneuvers using external and internal data

    公开(公告)号:US11584368B2

    公开(公告)日:2023-02-21

    申请号:US16139805

    申请日:2018-09-24

    Abstract: Apparatuses and methods for evaluating the risk factors of a proposed vehicle maneuver using remote data are disclosed. In embodiments, a computer-assisted/autonomous driving vehicle communicates with one or more remote data sources to obtain remote sensor data, and process such remote sensor data to determine the risk of a proposed vehicle maneuver. A remote data source may be authenticated and validated, such as by correlation with other remote data sources and/or local sensor data. Correlation may include performing object recognition upon the remote data sources and local sensor data. Risk evaluation is performed on the validated data, and the results of the risk evaluation presented to a vehicle operator or to an autonomous vehicle navigation system.

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