A computer-implemented system and method for operating one or more uncrewed vehicles (UxSs) in autonomous navigation modes. A software module is provided and executed for operation in a portable user computer device for enabling control and operation of the one or more UxS devices. The software module is configured for enabling the portable user computer device to communicate with one or more external communication devices regarding operation and control of the one or more UxSs. The software module communicatively couples the portable user computer device to the one or more UxSs via a transceiver component provided in the portable user computer device, wherein the software module enables voice commands received from a user at the portable user computer device to control one or more navigation functionalities for the one or more UxSs via the transceiver component.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described for performing privacy-aware surveillance with a security camera drone. The drone obtains image data using an imaging device and processes the image data to detect an object external to the drone. In response to processing the image data, the drone determines multiple viewing angles indicated in the image data with respect to the object. Based on the image data and the multiple viewing angles, a first section of the area for surveillance and a second, different section of the area to be excluded from surveillance are identified. The drone determines an adjustment to at least one of the multiple viewing angles to cause the second section to be excluded from surveillance. Based on the adjustment, the drone controls the imaging device to exclude the second section from surveillance imagery obtained by the drone.

A method for guiding an autonomous aircraft, the aircraft includes an automatic pilot, a plurality of sensors and an imaging unit, the aircraft being configured to fly over a geographic zone comprising overflight prohibited zones, the guidance method can advantageously comprise a phase of real flight of the autonomous aircraft by using a given guidance law, comprising the following steps: determining a current state of the autonomous aircraft; determining an optimum action to be executed by using a neural network receiving the current state; determining a plurality of control instructions compatible with the guidance law based on the optimum action to be executed; transmitting to the automatic pilot the plurality of control instructions, which provides a new state of the autonomous aircraft.

An unmanned helicopter platform includes a fuselage, a tail coupled with the fuselage, a payload rail coupled with and extending along the fuselage and a main rotor assembly coupled with the fuselage. The tail includes a tail rotor and a tail rotor motor. The tail is removably coupled to the fuselage. The main rotor assembly includes a main rotor having an axis of rotation and a main rotor motor.

A patrol robot including a plurality of magnetic sensors for detecting a magnetic marker laid on a traveling road has at least two or more magnetic sensors arrayed on a sensor array line linearly extending along any direction. In the patrol robot, two sensor array lines are formed, and since at least any one sensor array line can cross with respect to a relative moving direction of the magnetic marker with a movement of the patrol robot, the magnetic marker can be detected with high reliability, irrespective of the moving mode.

A monitoring method includes identifying a monitoring target and a warning object in space according to data collected by a data collection apparatus, obtaining position information of the monitoring target and the warning object, determining a warning area based on the position information of the monitoring target, and generating warning information based on a position relationship between a position of the warning object and the warning area.

The application relates to a target acquisition system (100) for an unmanned aircraft (106) according to an embodiment. The system comprises goggles (110) and the unmanned aircraft. The unmanned aircraft equipped with a camera (124) and a measuring unit (230) is configured to transmit location data (DS, KA, DE) related to a location (MS) of a target (102) to the goggles. The goggles are configured to form an augmented reality user interface (LK) by means of at least one goggle lens (212) for controlling the unmanned aircraft. The goggles equipped with an orientation detector (213) are configured to present to a wearer (108) of the goggles the location of the target as an augmented reality target object (MB) in the user interface based on the received target location data and an orientation (SA) of the goggles as detected by the orientation detector.

Disclosed is a method of controlling of a robot including evaluating whether a requestor of control over the robot has a privilege to do so, and if so, then recognizing the authority of the requestor. Disclosed is method of controlling a robot including selecting a point and/or a route for the robot and invoking a control that enables transmitting instructions to which a robot may respond by traveling to the point and/or along the route.

A method for coordinating drones flying in a divided airspace that includes sending patrol instructions to each drone of a set of airborne drones in a divided airspace, where the divided airspace includes mutually exclusive horizontal layers having a ceiling altitude and a floor altitude and at least one transition space layer, where the layers comprise sectors, where the patrol instructions direct the drone into a flight path in a sector, sending first transition instructions to a first drone, where the transition instructions direct the first drone to move from its sector to a transition space layer and from the transition space layer to exit the divided airspace, sending second transition instructions to a second drone, where the second transition instructions direct the second drone to move from outside the divided airspace to a transition space layer and from the transition space layer to the sector of the first drone.

The invention relates to a computer-implemented surveillance method for surveilling an area of interest using a set of drones, the surveillance method including monitoring a number of operational drones among the set of drones. If a change in the number of operational drones is detected, performing a segmentation step for segmenting the area of interest into N sub-areas, N being the current number of operational drones; and performing an affectation step for affecting each operational drone to a respective sub-area for surveilling said sub-area.