Dedrone Holdings, Inc.

Dedrone Defense, Inc.

Battelle Memorial Institute

Zachary Schmid

Alexander Morrow

Raphael Joseph Welsh

Daniel G Loesch

Daniel E Stamm

Rene Seeber

Joe Price

Mitch Meverden

Darren P Krasny

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can receive sensor data associated with an object in a particular airspace from one or more radio frequency sensors. The tracking system can analyze the sensor data relating to the object to identify a type of RF signal being used by the object. A portable countermeasure device can generate one or more disruption signals on one or more targeted bands of spectrum based on the type of RF signal being used by the object.

Identifying, tracking, and disrupting unmanned aerial vehicles

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can include one or more first computing devices that receive sensor data associated with an object in a particular airspace from one or more sensors. The first computing device can analyze the sensor data relating to the object to determine information about the object. A portable countermeasure device can include one or more second computing devices. The second computing device can receive the information relating to the object. The second computing device can display a visual indicator indicating the information on a display.

An electronics device can include a clock circuit, a first oscillator, signal expansion circuits, and an antenna. The clock circuit can generate a reference clock. The first oscillator can generate an initial waveform at an output based on the reference clock. The signal expansion circuits can be coupled in series and can receive the initial waveform at a front signal expansion circuit and output a resultant signal at an end signal expansion circuit of the plurality of signal expansion circuits. The signal expansion circuits can receive an input frequency on the respective frequency input and generate a respective additional frequency based on the reference clock. The signal expansion circuits can generate a merged frequency by merging the input frequency and the respective additional frequency and output the merged frequency from the respective frequency output. The antenna can transmit the transmission signal based on the resultant signal.

Signal generation systems and methods for using same

A handheld countermeasure device is disclosed herein. The device can include a hand-held form factor body. The device can include disruption components, a directional antenna, and a processor. The disruption components can be configured to generate a disruptive signal. The directional antenna can be configured to emit the disruptive signal. The processor can be configured to determine a position of the handheld countermeasure device based on a global navigation satellite system (GNSS) signal. The processor can be configured to load a device profile for the handheld countermeasure device based on the position of the handheld countermeasure device.

Handheld portable countermeasure device against unmanned systems

Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. Sensor data can be received from one or more portable countermeasure devices or sensors. The sensor data can relate to an object detected proximate to a particular airspace. The system can analyze the sensor data relating to the object to determine a location of the object and determine that the object is flying within the particular airspace based at least in part on location data. A portable countermeasure device can be identified that corresponds to the location of the object. The system can transmit information about the object to the identified portable countermeasure device. The portable countermeasure device can transmit additional data relating to the object to the system.

A handheld, man-portable countermeasure device can include a directional antenna and signal disruption components in electronic communication with the directional antenna. The signal disruption components can include a signal generator coupled to an amplifier. The countermeasure device can include a computing device coupled to an electronic communications transceiver. The computing device can provide, via the electronic communications transceiver, at least one bilateral communication link to operatively connect with a UAV tracking system. The computing device can determine status information associated with the electronic circuitry of the countermeasure device. The computing device can transmit, via the bilateral communication link, the status information to the UAV tracking system.

A portable countermeasure device is provided comprising one or more directional antennae, one or more disruption components and at least one activator. The portable countermeasure device further comprises a body having a dual-grip configuration, with the directional antennae are affixed to a removable plate on a front portion of the body. The one or more disruption components may be internally mounted within the device body. The dual-grip configuration allows an operator to use his body to steady and support the device while maintaining the antenna on target. The second grip is positioned adjacent the first grip, with the first grip angled toward the rear of the device and the second grip angled toward the front of the device. The portable countermeasure device is aimed at a specific drone, the activator is engaged, and disruptive signals are directed toward the drone, disrupting the control, navigation, and other signals to and from the drone.

A robot system includes a robot, a teach pendant having an operator interface, and a robot controller with a computer and associated hardware and software containing a virtual representation of the robot and the environment. The system employs a method for avoiding collisions including moving a manipulator arm along an actual path in an environment containing objects constituting collision geometry. Operator input is entered into the teach pendant, whereby the operator is able to directly control motion of the robot along the actual path. A recent history of the motion of the robot is recorded, and a predicted path of the robot is developed based on the input entered into the teach pendant and the recent history of the motion of the robot. Real-time collision checking between the predicted path and the collision geometry is performed while the operator manually controls the robot using the teach pendant.

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Columbus, OH, United States of America

Zachary Schmid