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公开(公告)号：US20220415184A1
公开(公告)日：2022-12-29
申请号：US17571217
申请日：2022-01-07
Applicant: Tomahawk Robotics
Inventor： Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Daniel R. Hedman , Brad Truesdell , Jeffrey S. Cooper , Michael E. Bowman , Sean Wagoner , Kevin Makovy
Abstract: A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.
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公开(公告)号：US20220413490A1
公开(公告)日：2022-12-29
申请号：US17571305
申请日：2022-01-07
Applicant: Tomahawk Robotics
Inventor： Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Daniel R. Hedman , Brad Truesdell , Jeffrey S. Cooper , Michael E. Bowman , Sean Wagoner , Kevin Makovy
IPC: G05D1/00
Abstract: A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.
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公开(公告)号：US12266164B2
公开(公告)日：2025-04-01
申请号：US18772099
申请日：2024-07-12
Applicant: Tomahawk Robotics, Inc.
Inventor： William S. Bowman , Sean Wagoner , Andrew D. Falendysz , Matthew D. Summer , Kevin Makovy , Jeffrey S. Cooper , Brad Truesdell
Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.
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Patent Agency Ranking
公开(公告)号：US12067768B2
公开(公告)日：2024-08-20
申请号：US18454055
申请日：2023-08-22
Applicant: Tomahawk Robotics, Inc.
Inventor： William S. Bowman , Sean Wagoner , Andrew D. Falendysz , Matthew D. Summer , Kevin Makovy , Jeffrey S. Cooper , Brad Truesdell
CPC classification number: G06V10/96 , G05B13/0265 , G06V10/764 , G06V10/87 , G06V10/955 , G06V20/56
Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.
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公开(公告)号：US11776247B2
公开(公告)日：2023-10-03
申请号：US17571081
申请日：2022-01-07
Applicant: Tomahawk Robotics
Inventor： William S. Bowman , Sean Wagoner , Andrew D. Falendysz , Matthew D. Summer , Kevin Makovy , Jeffrey S. Cooper , Brad Truesdell
CPC classification number: G06V10/96 , G05B13/0265 , G06V10/764 , G06V10/87 , G06V10/955 , G06V20/56
Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.
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公开(公告)号：US11854410B2
公开(公告)日：2023-12-26
申请号：US17571217
申请日：2022-01-07
Applicant: Tomahawk Robotics
Inventor： Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Daniel R. Hedman , Brad Truesdell , Jeffrey S Cooper , Michael E. Bowman , Sean Wagoner , Kevin Makovy
IPC: G08G5/00 , B64C39/02 , B64U101/30
CPC classification number: G08G5/003 , B64C39/024 , G08G5/0004 , B64U2101/30
Abstract: A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.
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公开(公告)号：US20230237802A1
公开(公告)日：2023-07-27
申请号：US17702669
申请日：2022-03-23
Applicant: Tomahawk Robotics
Inventor： Andrew D. Falendysz , William S. Bowman , Matthew D. Summer , Daniel R. Hedman , Sean Wagoner
CPC classification number: G06V20/46 , G06V10/70 , G06N20/20 , B64C39/024 , B64C2201/127 , G06V2201/07
Abstract: Methods and systems are described herein for generating composite data streams. A data stream processing system may receive multiple data streams from, for example, multiple unmanned vehicles and determine, based on the type of data within each data stream, a machine learning model for each data stream for processing the type of data. Each machine learning model may receive the frames of a corresponding data stream and output indications and locations of objects within those data streams. The data stream processing system may then generate a composite data stream with indications of the detected objects.
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公开(公告)号：US20230222783A1
公开(公告)日：2023-07-13
申请号：US17571081
申请日：2022-01-07
Applicant: Tomahawk Robotics
Inventor： William S. Bowman , Sean Wagoner , Andrew D. Falendysz , Matthew D. Summer , Kevin Makovy , Jeffrey S. Cooper , Brad Truesdell
CPC classification number: G06V10/96 , G05B13/0265 , G06V10/764 , G06V10/87 , G06V20/56 , G06V10/955
Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.
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