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公开(公告)号:US11886182B2
公开(公告)日:2024-01-30
申请号:US17417176
申请日:2019-12-31
Applicant: TOMAHAWK ROBOTICS, INC.
Inventor: Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Kevin M. Makovy , Daniel R. Hedman , Bradley D. Truesdell
IPC: G05D1/00 , B62D57/02 , G05D1/02 , G06F3/0346
CPC classification number: G05D1/0016 , B62D57/02 , G05D1/0033 , G05D1/0038 , G05D1/0223 , G06F3/0346
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.
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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.
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公开(公告)号:US12198377B1
公开(公告)日:2025-01-14
申请号:US18350722
申请日:2023-07-11
Applicant: Tomahawk Robotics, Inc.
Inventor: Daniel R. Hedman , Matthew D. Summer , William S. Bowman , Michael E. Bowman , Brad Truesdell , Andrew D. Falendysz
IPC: H04N7/18 , G06T7/60 , G06T7/73 , G06V10/774 , G06V20/17 , G06V40/20 , H04N23/661
Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within identified portions of images. An image processing system may receive an image and an identification of location within an image. The image may be input into a machine learning model to detect one or more objects within the identified location. Multiple images may then be used to generate location estimations of those objects. Based on the location estimations, an accurate three-dimensional location may be calculated.
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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.
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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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公开(公告)号:US12189386B2
公开(公告)日:2025-01-07
申请号:US18540632
申请日:2023-12-14
Applicant: Tomahawk Robotics, Inc.
Inventor: Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Kevin M. Makovy , Daniel R. Hedman , Bradley D. Truesdell
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.
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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:US12124256B2
公开(公告)日:2024-10-22
申请号:US17417194
申请日:2019-12-31
Applicant: Tomahawk Robotics, Inc.
Inventor: Matthew D. Summer , William S. Bowman , Andrew D. Falendysz , Kevin M Makovy , Daniel R Hedman , Bradley D. Truesdell
CPC classification number: G05D1/0016 , B62D57/02 , G05D1/0033 , G05D1/0038 , G05D1/0223 , G05D1/222 , G05D1/223 , G05D1/224 , G05D1/2247 , G05D1/2248 , G05D1/24 , G05D1/65 , G06F3/0346
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.
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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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