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1.发明申请公开(公告)号：US20190220020A1
公开(公告)日：2019-07-18
申请号：US16365197
申请日：2019-03-26
Applicant: Intel Corporation
Inventor： Leobardo Campos Macias , Rodrigo Aldana Lopez , Rafael de la Guardia Gonzalez , David Gomez Gutierrez , Jose Parra Vilchis
CPC classification number: G05D1/0202 , B64C39/024 , B64C2201/141 , B64D47/08 , G01C21/206 , G06K9/00671 , H04N5/23229 , H04N13/111 , H04N2013/0081
Abstract: Methods and apparatus for dynamically routing robots based on exploratory on-board mapping are disclosed. A control system of a robot includes an image manager to command a depth camera to capture depth images of an environment. The depth camera has a field of view. The control system further includes a map generator to generate a map of the environment based on the depth images. The map includes a representation of unoccupied space within the environment, and a path extending through the unoccupied space from a reference location of the robot to a target location of the robot. The control system further includes a field of view evaluator to determine whether the field of view associated with the reference location satisfies a threshold. The control system further includes a route generator to generate, in response to the field of view associated with the reference location satisfying the threshold, a route to be followed by the robot within the environment. The route includes a first candidate location located along the path of the map between the reference location and the target location. The first candidate location is within the field of view associated with the reference location.
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2.发明申请公开(公告)号：US20190051197A1
公开(公告)日：2019-02-14
申请号：US16141527
申请日：2018-09-25
Applicant: Intel Corporation
Inventor： Leobardo Campos Macias , Hector Cordourier Maruri , David Gomez Gutierrez , Rodrigo Aldana Lopez , Jose Parra Vilchis
Abstract: Methods and apparatus for preventing collisions between drones based on drone-to-drone acoustic communications are disclosed. A control system of a first drone includes a route manager to command the first drone to track a first route. The control system further includes a plurality of acoustic sensors arranged on the first drone to detect acoustic signals. The control system further includes a collision prevention engine to determine a second route based on acoustic signals detected by the acoustic sensors, the acoustic signals being received from a second drone while the first drone is tracking the first route. The second route differs from the first route to prevent a drone-to-drone collision between the first drone and the second drone. The collision prevention engine is to cause the route manager to command the first drone to track the second route instead of the first route.
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公开(公告)号：US10733896B2
公开(公告)日：2020-08-04
申请号：US15941363
申请日：2018-03-30
Applicant: Intel Corporation
Inventor： Leobardo Campos Macias , Carl S. Marshall , David Arditti Ilitzky , David Gomez Gutierrez , Jose Parra Vilchis , Julio Zamora Esquivel , Rafael De La Guardia Gonzalez , Rodrigo Aldana Lopez
Abstract: Methods and apparatus for drone collision avoidance. Processing circuitry of a drone extracts information from an encoded image captured by a detection device with a field view overlapping the encoded image. Based on the extracted information a determination is made whether a collision will occur on the flight trajectory of the drone with an external source. The flight trajectory of the drone is then altered to avoid a collision.
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公开(公告)号：US10657833B2
公开(公告)日：2020-05-19
申请号：US15828134
申请日：2017-11-30
Applicant: Intel Corporation
Inventor： David Gomez Gutierrez , Leobardo Campos Macias , Rodrigo Aldana Lopez , Rafael De La Guardia Gonzalez , Julio Zamora Esquivel , Jose Parra Vilchis , David Arditti Ilitzky
Abstract: Methods and apparatus are described for drone collision avoidance that includes extracting first feature information from an image. The image is captured from a first camera oriented in a direction. Second feature information is received from an external source. The second feature information is extracted from a second image of the environment captured by a second camera oriented in the direction. The first feature information and the second feature information are matched. A second local frame of reference of the second feature information is transformed to a first local frame of reference of the first feature information to determine a location of the external source. If a collision with the external source will occur is determined based on the location of the external source and a current flight trajectory.
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公开(公告)号：US10507916B2
公开(公告)日：2019-12-17
申请号：US15639679
申请日：2017-06-30
Applicant: Intel Corporation
Inventor： David Gomez Gutierrez , Rafael De La Guardia Gonzalez , Jose I. Parra Vilchis , Rodrigo Aldana Lopez
Abstract: Unmanned aerial vehicles include a processor to determine whether a first location of an unmanned vehicle and a second location of a virtual event is within a threshold distance; and a game experience controller to: control the unmanned vehicle based on a first command associated with a non-augmented state of the unmanned vehicle in response to the first location of the unmanned vehicle and the second location of the virtual event being outside of the threshold distance; and in response to the first location of the unmanned vehicle and the second location of the virtual event being within the threshold distance, control the unmanned vehicle based on a second command associated with an augmented state of the unmanned vehicle to simulate the unmanned vehicle being affected by the virtual event.
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Patent Agency Ranking
公开(公告)号：US20190220043A1
公开(公告)日：2019-07-18
申请号：US16365361
申请日：2019-03-26
Applicant: Intel Corporation
Inventor： Julio Cesar Zamora Esquivel , Rodrigo Aldana Lopez , Leobardo Campos Macias , Jesus Adan Cruz Vargas , Rafael de la Guardia Gonzalez , David Gomez Gutierrez , Edgar Macias Garcia
CPC classification number: G05D1/102 , G05D1/0011 , G05D1/0088
Abstract: Methods and apparatus to facilitate autonomous navigation of robotic devices. An example autonomous robot includes a region model analyzer to: analyze a first image of an environment based on a first neural network model, the first image captured by an image sensor of the robot when the robot is in a first region of the environment; and analyze a second image of the environment based on a second neural network model, the second image captured by the image sensor when the robot is in a second region of the environment, the second neural network associated with the second region. The example robot further includes a movement controller to: autonomously control movement of the robot within the first region toward the second region based on the analysis of the first image; and autonomously control movement of the robot within the second region based on the analysis of the second image.
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公开(公告)号：US20190050370A1
公开(公告)日：2019-02-14
申请号：US16020224
申请日：2018-06-27
Applicant: Intel Corporation
Inventor： Jose Ignacio Parra Vilchis , Rodrigo Aldana Lopez , David Gomez Gutierrez , Rafael de la Guardia Gonzalez , Leobardo Campos Macias
Abstract: An apparatus of an autonomous device comprises one or more state estimators to estimate one or more states of the autonomous device, wherein the one or more state estimators are to generate one or more derivatives of translational measurements, orientation measurements, reference translational values, and reference orientation values, and one or more controllers to receive an output from the one or more state estimators to provide control signals to control the autonomous device. The one or more state estimators include a hardware differentiator to generate the one or more derivatives.
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公开(公告)号：US20190002103A1
公开(公告)日：2019-01-03
申请号：US15639679
申请日：2017-06-30
Applicant: Intel Corporation
Inventor： David Gomez Gutierrez , Rafael De La Guardia Gonzalez , Jose I. Parra Vilchis , Rodrigo Aldana Lopez
Abstract: Unmanned aerial vehicles and related methods and systems are disclosed. An example apparatus includes a processor to determine whether a first location of an unmanned vehicle and a second location of a virtual event is within a threshold distance; and a game experience controller to: control the unmanned vehicle based on a first command associated with a non-augmented state of the unmanned vehicle in response to the first location of the unmanned vehicle and the second location of the virtual event being outside of the threshold distance; and in response to the first location of the unmanned vehicle and the second location of the virtual event being within the threshold distance, control the unmanned vehicle based on a second command associated with an augmented state of the unmanned vehicle to simulate the unmanned vehicle being affected by the virtual event.
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公开(公告)号：US10957209B2
公开(公告)日：2021-03-23
申请号：US16141527
申请日：2018-09-25
Applicant: Intel Corporation
Inventor： Leobardo Campos Macias , Hector Cordourier Maruri , David Gomez Gutierrez , Rodrigo Aldana Lopez , Jose Parra Vilchis
Abstract: Methods and apparatus for preventing collisions between drones based on drone-to-drone acoustic communications are disclosed. A control system of a first drone includes a route manager to command the first drone to track a first route. The control system further includes a plurality of acoustic sensors arranged on the first drone to detect acoustic signals. The control system further includes a collision prevention engine to determine a second route based on acoustic signals detected by the acoustic sensors, the acoustic signals being received from a second drone while the first drone is tracking the first route. The second route differs from the first route to prevent a drone-to-drone collision between the first drone and the second drone. The collision prevention engine is to cause the route manager to command the first drone to track the second route instead of the first route.
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公开(公告)号：US10564650B2
公开(公告)日：2020-02-18
申请号：US15662097
申请日：2017-07-27
Applicant: Intel Corporation
Inventor： David Gomez Gutierrez , Maynard C. Falconer , Kirk W. Skeba , Rodrigo Aldana Lopez
Abstract: Apparatus, systems, methods, and articles of manufacture for tracking a trajectory by rotorcraft unmanned aerial vehicles (UAVs) are described herein. An example trajectory tracking controller includes an altitude controller to calculate an output value of a thrust control variable based on a trajectory of a rotorcraft independent of one or more system parameters of the rotorcraft. The example trajectory tracking controller also includes an attitude controller to calculate output values of roll, pitch, and yaw control variables based on the trajectory independent of the one or more of the system parameters. The example trajectory tracking controller further includes a motor speed selector to select speeds for propeller motors of the rotorcraft based on the output values of the thrust, roll, pitch, and yaw control variables and activate the propeller motors based on the selected motor speeds.
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