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    Inertially isolated spatial control
    1.
    发明授权
    Inertially isolated spatial control 有权

    公开(公告)号：US12223124B2

    公开(公告)日：2025-02-11

    申请号：US18311370

    申请日：2023-05-03

    Applicant: Tomahawk Robotics, Inc.

    Inventor： Michael E. Bowman ,  William S. Bowman ,  Daniel R. Hedman ,  Matthew D. Summer ,  Andrew D. Falendysz ,  Kevin Makovy ,  Michael W. Holt

    IPC: G06F3/0488 ,  G05D1/00 ,  G06F3/0346

    Abstract: Methods and systems are described herein for detecting motion-induced errors received from inertial-type input devices and for generating accurate vehicle control commands that account for operator movement. These methods and systems may determine, using motion data from inertial sensors, whether the hand/arm of the operator is moving in the same motion as the body of the operator, and if both are moving in the same way, these systems and methods may determine that the motion is not intended to be a motion-induced command. However, if the hand/arm of the operator is moving in a different motion from the body of the operator, these methods and systems may determine that the operator intended the motion to be a motion-induced command to a vehicle.

    CLASSIFICATION PARALLELIZATION ARCHITECTURE
    3.
    发明申请
    CLASSIFICATION PARALLELIZATION ARCHITECTURE 有权

    公开(公告)号：US20240404271A1

    公开(公告)日：2024-12-05

    申请号：US18800296

    申请日：2024-08-12

    Applicant: Tomahawk Robotics, Inc.

    Inventor： William S. BOWMAN ,  Sean WAGONER ,  Andrew D. FALENDYSZ ,  Matthew D. SUMMER ,  Kevin MAKOVY ,  Jeffrey S. COOPER ,  Brad TRUESDELL

    IPC: G06V10/96 ,  G05B13/02 ,  G06V10/70 ,  G06V10/764 ,  G06V10/94 ,  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.

    SYSTEMS AND METHODS OF REMOTE TELEOPERATION OF ROBOTIC VEHICLES
    4.
    发明申请
    SYSTEMS AND METHODS OF REMOTE TELEOPERATION OF ROBOTIC VEHICLES 有权

    公开(公告)号：US20220083054A1

    公开(公告)日：2022-03-17

    申请号：US17417194

    申请日：2019-12-31

    Applicant: TOMAHAWK ROBOTICS

    Inventor： Matthew D. Summer ,  William S. Bowrnan ,  Andrew D. Falendysz ,  Kevin M. Makovy ,  Daniel R. Hedman ,  Bradley D. Truesdell

    IPC: G05D1/00

    Abstract: Systems and methods of manipulating/controlling robots. In many scenarios, data collected by a sensor (connected to a robot) may not have very high precision (e.g., a regular commercial/inexpensive sensor) or may be subjected to dynamic environmental changes. Thus, the data collected by the sensor may not indicate the parameter captured by the sensor with high accuracy. The present robotic control system is directed at such scenarios. In some embodiments, the disclosed embodiments can be used for computing a sliding velocity limit boundary for a spatial controller. In some embodiments, the disclosed embodiments can be used for teleoperation of a vehicle located in the field of view of a camera.

    ARCHITECTURE FOR DISTRIBUTED ARTIFICIAL INTELLIGENCE AUGMENTATION
    7.
    发明公开
    ARCHITECTURE FOR DISTRIBUTED ARTIFICIAL INTELLIGENCE AUGMENTATION 审中-公开

    公开(公告)号：US20240078763A1

    公开(公告)日：2024-03-07

    申请号：US17930399

    申请日：2022-09-07

    Applicant: Tomahawk Robotics, Inc.

    Inventor： Daniel R. HEDMAN ,  William S. BOWMAN ,  Matthew D. SUMMER ,  Bryce KORTE ,  Andrew D. FALENDYSZ

    IPC: G06T19/00 ,  G06T7/70 ,  G06V10/764

    CPC classification number: G06T19/006 ,  G06T7/70 ,  G06V10/764

    Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within a video stream and linking those objects with known objects. An image processing system may receive an image and image metadata and detect an object and a location of the object within the image. The estimated location of each object is then determined within the three-dimensional space. In addition, the image processing system may retrieve, for a plurality of known objects, a plurality of known locations within the three-dimensional space and determine, based on estimated location and the known location data, which of the known objects matches the detected object in the image. An indicator for the object is then generated at the location of the object within the image.

    INERTIALLY ISOLATED SPATIAL CONTROL
    9.
    发明公开
    INERTIALLY ISOLATED SPATIAL CONTROL 审中-公开

    公开(公告)号：US20230333671A1

    公开(公告)日：2023-10-19

    申请号：US18311370

    申请日：2023-05-03

    Applicant: Tomahawk Robotics

    Inventor： Michael E. BOWMAN ,  William S. BOWMAN ,  Daniel R. HEDMAN ,  Matthew D. SUMMER ,  Andrew D. FALENDYSZ

    IPC: G05D1/00 ,  G06F3/0346

    CPC classification number: G06F3/0346 ,  G05D1/0016 ,  G05D1/0038

    Abstract: Methods and systems are described herein for detecting motion-induced errors received from inertial-type input devices and for generating accurate vehicle control commands that account for operator movement. These methods and systems may determine, using motion data from inertial sensors, whether the hand/arm of the operator is moving in the same motion as the body of the operator, and if both are moving in the same way, these systems and methods may determine that the motion is not intended to be a motion-induced command. However, if the hand/arm of the operator is moving in a different motion from the body of the operator, these methods and systems may determine that the operator intended the motion to be a motion-induced command to a vehicle.

    Classification parallelization architecture
    10.
    发明授权
    Classification parallelization architecture 有权

    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

    IPC: G06V10/764 ,  G05B13/02 ,  G06V10/70 ,  G06V10/94 ,  G06V10/96 ,  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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