This disclosure relates to system and method for managing an insect swarm using a plurality of drones. The method includes detecting an insect swarm. The method may further include tracking a movement of the insect swarm. The method further includes communicating, with remaining of the plurality of drones, to dynamically align in a position based on the tracking so as to make a drone formation. The method further includes magnetizing, by at least some of the plurality of drones, one or more drone couplers for electromagnetically coupling the at least some of the plurality of drones with each other as per the drone formation. The method further includes casting, by each of the plurality of drones, a net to trap insects in the insect swarm. The method further includes supplying, by each of the plurality of drones, a high voltage to the net to decapitate the insects.

An unmanned moving body includes a directional speaker that outputs sound in an orientation direction and a processor that obtains one or more instances of sensing data. The processor: determines whether or not a second target is present in a vicinity of a first target in accordance with at least one of the one or more instances of sensing data; calculates a positional relationship between the first target and the second target when it is determined that the second target is present; and determines a first position of the unmanned moving body in accordance with the positional relationship and causes the unmanned moving body to move to the first position, the first position being a position that places the first target and the second target within a range over which the sound from the directional speaker reaches at at least a predetermined quality.

An unmanned moving body includes a directional speaker that outputs sound in an orientation direction and a processor that obtains one or more instances of sensing data. The processor: determines whether or not a second target is present in a vicinity of a first target in accordance with at least one of the one or more instances of sensing data; calculates a positional relationship between the first target and the second target when it is determined that the second target is present; and determines a first position of the unmanned moving body in accordance with the positional relationship and causes the unmanned moving body to move to the first position, the first position being a position that places the first target and the second target within a range over which the sound from the directional speaker reaches at at least a predetermined quality.

According to an embodiment, a hunting drone includes a hunting mechanism, a net gun, a flying mechanism, and a control unit. The hunting mechanism captures a target. The net gun generates a sound at the time of firing a hunting net. After approaching the target to a predetermined distance, the hunting drone captures the target using the hunting mechanism, while avoiding false recognition of the target by using the sound generated at the time of firing the net gun as a threatening sound to repel a wrong target such as a bird.

According to an embodiment, a hunting drone includes a hunting mechanism, a net gun, a flying mechanism, and a control unit. The hunting mechanism captures a target. The net gun generates a sound at the time of firing a hunting net. After approaching the target to a predetermined distance, the hunting drone captures the target using the hunting mechanism, while avoiding false recognition of the target by using the sound generated at the time of firing the net gun as a threatening sound to repel a wrong target such as a bird.

Regarding a method of collecting a target object falling through the air by using an unmanned aerial vehicle, the method including: an information transmission step of transmitting state information of the target object falling through the air from the target object; and a collection step of capturing the target object by an unmanned aerial vehicle flying in accordance with command information generated based on the state information.

Regarding a method of collecting a target object falling through the air by using an unmanned aerial vehicle, the method including: an information transmission step of transmitting state information of the target object falling through the air from the target object; and a collection step of capturing the target object by an unmanned aerial vehicle flying in accordance with command information generated based on the state information.

The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

The system comprises a plurality of sensor systems, a counter drone, and a processor. A sensor system of the plurality of sensor systems comprises one or more sensors that are connected to a network. The counter drone is connected to the network. The processor is configured to receive an indication of a potential target from the plurality of sensor systems; generate a fused data set for the potential target, determine whether the potential target comprises the threat drone based at least in part on the fused data set; and in response to determining that the potential target comprises the threat drone, provide counter drone instructions to the counter drone.

Disclosed is a configuration of an autonomous vehicle for autonomously following a moving subject based on a radius of a virtual sphere surrounding the autonomous vehicle. The autonomous vehicle may be an unmanned ground vehicle or an unmanned aerial vehicle, which autonomously follows the subject (e.g., a device, a live entity, or any object) based on the virtual sphere. The radius of the virtual sphere may be dynamically configured according to a velocity of the autonomous vehicle or configurations of a camera coupled to the autonomous vehicle. Accordingly, the autonomous vehicle can follow the subject along a smooth trajectory, and capture images of abrupt movements of the subject in a cinematically pleasing manner.