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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: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: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: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:US20220083069A1
公开(公告)日:2022-03-17
申请号:US17417176
申请日:2019-12-31
Applicant: TOMAHAWK ROBOTICS
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:US11675445B1
公开(公告)日:2023-06-13
申请号:US17720130
申请日:2022-04-13
Applicant: Tomahawk Robotics
Inventor: Michael E. Bowman , William S. Bowman , Daniel R. Hedman , Matthew D. Summer , Andrew D. Falendysz , Kevin Makovy , Michael W. Holt
IPC: G06F3/01 , G06F3/0346 , G05D1/00
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.
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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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