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.

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.

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.

公开(公告)号：US12293538B2

公开(公告)日：2025-05-06

申请号：US18446450

申请日：2023-08-08

Applicant: Tomahawk Robotics, Inc.

Inventor： William S. Bowman ,  Mark B. Moffett ,  Andrew D. Falendysz ,  Michael E. Bowman ,  Michael W. Holt ,  Timothy M. Williams ,  Matthew R. Danko ,  Matthew D. Summer

IPC: G06T7/70 ,  G06T7/50 ,  G06T7/90

Abstract: Methods and systems are described herein for enabling aerial vehicle navigation in GPS-denied areas. The system may use a camera to record images of terrain as the aerial vehicle is flying to a target location. The system may then detect (e.g., using a machine learning model) objects within those images and compare those objects with objects within an electronic map that was loaded onto the aerial vehicle. When the system finds one or more objects within the electronic map that match the objects detected within the recorded images, the system may retrieve locations (e.g., GPS coordinates) of the objects within the electronic map and calculate, based on the coordinates, the location of the aerial vehicle. Once the location of the aerial vehicle is determined, the system may navigate to a target location or otherwise adjust a flight path of the aerial vehicle.

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.

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

IPC: G08G5/00 ,  B64C39/02

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.

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.