System of and method for interacting with a target and/or an environment using a drone swarm
Disclosed herein relates to a system of and method for solid-state microwave amplification by stimulated emission of radiation (hereinafter “MASER”) and/or a sound amplification by stimulation emission of radiation (hereinafter “SASER”) used in a series of micro-drones to for monitoring, protecting, controlling, disabling, sterilizing, and/or destroying of a target. The micro-drones may form an autonomous, self-sustaining swarm, such that the micro-drones may exit and rejoin the hybrid drone swarm, automatically, optimizing monitoring by allowing at least one micro-drone to be constantly within the hybrid drone swarm around the target without requiring downtime. Additionally, the micro-drones may automatically recharge via at least one solar panel. In addition, the present disclosure may defend a user and/or area from enemy drones or enemy targets using a system of micro-drones.
1 . A method of automatically entering and exiting a formation of a hybrid drone swarm within an atmospheric environment, a marine environment, or both, the method comprising the steps of:
loading, into a memory of a modem, a sensorial system;
transmitting, via a processor of the modem, a present metric value of the sensorial system;
receiving, via the processor of the modem, a predetermined metric level;
comparing, via the processor, the present metric value with the predetermined metric level; and
automatically entering or exiting the formation of a hybrid drone swarm by at least one micro-drone of at least one alternative hybrid drone swarm by:
when a micro-drone of the at least one alternative hybrid drone swarm is within the formation of the hybrid drone swarm, if the present metric value is not greater than or at least equal to the predetermined metric level, notifying at least one micro-drone of the hybrid drone swarm via an amplified pulse wave from an emitter of the micro-drone, exiting the formation of the hybrid drone swarm, or both;
when the micro-drone of the at least one alternative hybrid drone swarm is within the formation of the hybrid drone swarm, if the present metric value is greater than or at least equal to the predetermined metric level, maintaining status within the formation of the hybrid drone swarm;
when the micro-drone of the at least one alternative hybrid drone swarm is outside the formation of the hybrid drone swarm, if the present metric value is greater than or at least equal to the predetermined metric level, notifying at least one micro-drone of the hybrid drone swarm via the amplified pulse wave, entering the formation of the hybrid drone swarm, or both; and
when the micro-drone of the at least one alternative hybrid drone swarm is outside the formation of the hybrid drone swarm, if the present metric value is not greater than or at least equal to the predetermined metric level, maintaining status outside the formation of the hybrid drone swarm;
providing, by the sensorial system, real-time environmental metrics;
correcting the amplified pulse wave based on the real-time environmental metrics provided by the sensorial system, thereby optimizing the entering and exiting of the micro-drone from the formation of the hybrid drone swarm; and
wherein each micro-drone autonomously executes entry or exit decisions from the formation without centralized coordination from a controller.
2 . The method of claim 1 , wherein the amplified pulse wave is selected from a group consisting of acoustic waves, microwaves, and a combination of thereof.
3 . The method of claim 2 , wherein the amplified pulse wave comprises an ultrahigh-frequency.
4 . The method of claim 1 , wherein the sensorial system is configured to provide real-time battery level, data acquisition, target monitoring, and eco-system control.
5 . The method of claim 1 , wherein the formation of the hybrid drone swarm comprises an inner swarm encompassed by an extended swarm.
6 . The method of claim 1 , wherein the controller is selected from a group consisting of an intelligent controller, a remoter central controller, and a combination of thereof.
7 . The method of claim 4 , further comprising the step of, after automatically exiting the formation of the hybrid drone swarm, charging a battery of the micro-drone of the at least one alternative hybrid drone swarm, via a solar panel, allowing the present metric value to become greater than or at least equal to the predetermined metric level.
8 . The method of claim 4 , further comprising the step of, before automatically entering the formation of the hybrid drone warm, charging a battery of the micro-drone of the at least one alternative hybrid drone swarm, via a solar panel, allowing the present metric value to become greater than or at least equal to the predetermined metric level.
9 . A micro-drone optimization system for automatically entering or exiting a formation of a hybrid drone swarm with a modem within an atmospheric environment, a marine environment, or both, the micro-drone optimization system comprising:
the modem having a processor; and
a non-transitory computer-readable medium operably coupled to the processor, the computer-readable medium having computer-readable instructions stored thereon that, when executed by the processor, cause the micro-drone optimization system to automatically enter or exist the formation of the hybrid drone swarm associated with the modem by executing instructions comprising:
loading, into a memory of a modem, a sensorial system;
transmitting, via a processor of the modem, a present metric value of the sensorial system;
receiving, via the processor of the modem, a predetermined metric level;
comparing, via the processor, the present metric value with the predetermined metric level; and
automatically entering or exiting the formation of a hybrid drone swarm by at least one micro-drone of at least one alternative hybrid drone swarm by:
when a micro-drone of the at least one alternative hybrid drone swarm is within the formation of the hybrid drone swarm, if the present metric value is not greater than or at least equal to the predetermined metric level, notifying at least one micro-drone of the hybrid drone swarm via an amplified pulse wave from an emitter of the micro-drone, exiting the formation of the hybrid drone swarm, or both;
when the micro-drone of the at least one alternative hybrid drone swarm is within the formation of the hybrid drone swarm, if the present metric value is greater than or at least equal to the predetermined metric level, maintaining status within the formation of the hybrid drone swarm;
when the micro-drone of the at least one alternative hybrid drone swarm is outside the formation of the hybrid drone swarm, if the present metric value is greater than or at least equal to the predetermined metric level, notifying at least one micro-drone of the hybrid drone swarm via the amplified pulse wave, entering the formation of the hybrid drone swarm, or both;
when the micro-drone of the at least one alternative hybrid drone swarm is outside the formation of the hybrid drone swarm, if the present metric value is not greater than or at least equal to the predetermined metric level, maintaining status outside the formation of the hybrid drone swarm;
providing, by the sensorial system, real-time environmental metrics;
correcting the amplified pulse wave based on the real-time environmental metrics provided by the sensorial system, thereby optimizing the entering and exiting of the micro-drone from the formation of the hybrid drone swarm; and
wherein each micro-drone autonomously executes entry or exit decisions from the formation without centralized coordination from a controller.
10 . The micro-drone optimization system of claim 9 , wherein the sensorial system is configured to provide real-time battery level, data acquisition, monitoring, and eco-system control.
11 . The micro-drone optimization system of claim 9 , wherein the formation of the hybrid drone swarm comprises an inner swarm encompassed by an extended swarm.
12 . The micro-drone optimization system of claim 9 , wherein the amplified pulse wave comprises an ultrahigh-frequency.
13 . The micro-drone optimization system of claim 10 , wherein the executed instructions further comprise the step of, after automatically exiting the formation of the hybrid drone swarm, charging a battery of the drone, via a solar panel, allowing the present metric value to become greater than or at least equal to the predetermined metric level.
14 . The micro-drone optimization system of claim 10 , wherein the executed instructions further comprise the step of, before automatically entering the formation of the hybrid drone warm, charging a battery of the drone, via a solar panel, allowing the present metric value to become greater than or at least equal to the predetermined metric level.
15 . A method of interacting with a target in an atmospheric environment, a marine environment, or both using at least one micro-drone, the method comprising the steps of:
providing the at least one micro-drone forming a hybrid drone swarm, each of the at least one micro-drones having an emitter configured to deliver a high-intensity amplified pulse wave to the target;
arranging the at least one micro-drone within the swarm forming an inner swarm and an outer swarm based on a predetermined metric level, wherein the inner swarm is configured to deliver the high-intensity amplified pulse wave to a target via a standard emission of radiation by the emitter and the outer swarm is configured to permit entry and exit of one or more drones within the swarm;
identifying, via a processor of a modem of the drone, the target using the at least one micro-drones within the core swarm;
delivering the high-intensity amplified pulse wave to the target, via the standard emission of radiation by the emitter;
loading, into a memory of the modem, a sensorial system;
providing, by the sensorial system, real-time environmental metrics;
correcting the amplified pulse wave based on the real-time environmental metrics provided by the sensorial system, thereby optimizing the amplification of the pulse wave to the target by the micro-drone; and
wherein each micro-drone autonomously executes entry or exit decision from the outer swarm without centralized coordination from a controller.
16 . The method of claim 15 , wherein the emitter is selected from a group consisting of a MASER device, a SASER device, and a combination of thereof.
17 . The method of claim 15 , wherein the sensorial system provides real-time battery level, data acquisition, monitoring, and eco-system control.
18 . The method of claim 15 , wherein the drones further include the use of frequencies to attract or repel the target, wherein the frequencies are selected from the group consisting of ultrahigh-frequencies.
19 . The method of claim 18 , wherein repulsion is achieved by emitting quenching frequencies timed to a communication system of the target or by emitting out of phase frequencies configured to interfere with the communication system of the target.