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    Artificial intelligence augmented reality command, control and communications system
    72.
    发明授权
    Artificial intelligence augmented reality command, control and communications system 有权

    公开(公告)号：US09983581B1

    公开(公告)日：2018-05-29

    申请号：US15705027

    申请日：2017-09-14

    Applicant: SparkCognition, Inc.

    Inventor： Syed Mohammad Amir Husain ,  John Rutherford Allen

    IPC: G05D1/00 ,  B64C39/02 ,  H04N7/18

    CPC classification number: G05D1/0038 ,  B64C39/024 ,  B64C2201/042 ,  B64C2201/121 ,  B64C2201/141 ,  B64C2201/146 ,  G05D1/0027 ,  G05D1/0088 ,  H04N7/18 ,  H04N7/181

    Abstract: A method and system comprises a plurality of electronically controlled distributed devices and a supervisory node. The supervisory node comprises a communications interface, a processor, and a display. The supervisory node is configured to communicate with the plurality of electronically controlled distributed devices via the communications interface. The supervisory node is adapted to receive sensor information, to receive functionality information and device status information, to determine useful life prognostics from the functionality information, to obtain human defined policy and strategy directives, to assess the useful life prognostics and device status information based on the human defined policy and strategy directives to provide device assessments, to construct device commands for the plurality of electronically controlled distributed devices based on the device assessments using the processor, and to communicate the device commands to the plurality of electronically controlled distributed via the communications interface.

    Aerial vehicle propulsion modules
    77.
    发明授权
    Aerial vehicle propulsion modules 有权

    公开(公告)号：US09975644B1

    公开(公告)日：2018-05-22

    申请号：US14976845

    申请日：2015-12-21

    Applicant: Amazon Technologies, Inc.

    Inventor： Gur Kimchi ,  Dominic Timothy Shiosaki ,  Ricky Dean Welsh

    IPC: G01C23/00 ,  B64D35/04 ,  B64D35/02 ,  B64C39/02 ,  B64D27/24

    CPC classification number: B64D35/04 ,  B64C39/024 ,  B64C2201/024 ,  B64C2201/042 ,  B64C2201/108 ,  B64C2201/141 ,  B64D27/24 ,  B64D35/02

    Abstract: An aerial vehicle may be equipped with propulsion modules that include motors, sensors, transceivers, controllers, power sources or other components therein. The propulsion modules may be releasably mounted to the aerial vehicle in a manner that allows a propulsion module to be removed and replaced when one or more of the components within the propulsion module requires maintenance or repairs, thereby enabling the aerial vehicle to return to service promptly. The propulsion modules may communicate via wired or wireless means with one another, or with a central computer system onboard the aerial vehicle. The propulsion modules may be interchangeably installed on each of the aerial vehicles in a class, or on aerial vehicles in different classes. Furthermore, aerial vehicles may be equipped with varying numbers of propulsion modules, as needed, subject to one or more operational requirements or constraints.

    Magnetic field navigation of unmanned autonomous vehicles
    78.
    发明授权
    Magnetic field navigation of unmanned autonomous vehicles 有权

    公开(公告)号：US09975634B2

    公开(公告)日：2018-05-22

    申请号：US15202796

    申请日：2016-07-06

    Applicant: QUALCOMM Incorporated

    Inventor： William Henry Von Novak, III ,  Joseph Maalouf ,  Sumukh Shevde

    IPC: B64C30/00 ,  B64C39/02 ,  G08G5/00 ,  H04W84/04 ,  H04W84/12

    CPC classification number: B64C39/024 ,  B64C2201/141 ,  G05D1/101 ,  G08G5/003 ,  G08G5/0069 ,  H04W84/042 ,  H04W84/12

    Abstract: Embodiments include devices and methods for navigating an unmanned autonomous vehicle (UAV) based on a measured magnetic field vector and strength of a magnetic field emanated from a charging station. A processor of the UAV may navigate to the charging station using the magnetic field vector and strength. The processor may determine whether the UAV is substantially aligned with the charging station, and the processor may maneuver the UAV to approach the charging station using the magnetic field vector and strength in response to determining that the UAV is substantially aligned with the charging station. Maneuvering the UAV to approach the charging station using the magnetic field vector and strength may involve descending to a center of the charging station. The UAV may follow a specified route to and/or away from the charging station using the magnetic field vector and strength.

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