This disclosure describes a collective UAV in which multiple UAVs may be coupled together to form the collective UAV. A collective UAV may be used to aerially transport virtually any size, weight or quantity of items, travel longer distances, etc. For example, rather than using one large UAV to carry a larger or heavier item, multiple smaller UAVs may couple together to form a collective UAV that is used to carry the larger or heavier item.

Systems, devices, and methods for presenting information in the sky using drones are disclosed. The presentation of information includes navigating one or more drones to locations in the sky where the locations are associated with an image, emitting light signals at the locations, capturing the light signals with a user device, processing the captured signals to identify the image, capturing a background image including at least one of the locations associated with the image, and presenting simultaneously, on the user device, the identified image and the background image.

An unmanned aerial vehicle (UAV) task cooperation method based on an overlapping coalition formation (OCF) game includes: constructing a sequential OCF game model for a UAV multi-task cooperation problem; using a bilateral mutual benefit transfer (BMBT) order that is biased toward the utility of a whole coalition to evaluate a preference of a UAV for a coalitional structure; optimizing task resource allocation of the UAV under an overlapping coalitional structure by using a preference gravity-guided Tabu Search algorithm to form a stable coalitional structure; and optimizing a transmission strategy based on the current coalitional structure, an updated status of a task resource allocation scheme of the UAV, and a current fading environment, so as to maximize task execution utility of a UAV network. The method quantifies characteristics of resource properties of the UAV and a task, and optimizes the task resource allocation of the UAV under the overlapping coalitional structure.

An aerial light show system includes aerial vehicles configured to move along paths consisting of positions while emitting light beams to present an aerial light show of a virtual 3D scene. Each aerial vehicle includes a light source configured to project multiple light beams in multiple specified directions, respectively, wherein the brightness and/or color of each of the multiple light beams is independently controllable. The aerial light show system includes a control system configured to control the movement of the aerial vehicles, to modify the brightness and/or color of (e.g., dim or turn off) a light beam of each aerial vehicle at each position projected in a specified direction that is occluded by the virtual 3D scene, and to not modify the brightness and/or color of a light beam of each aerial vehicle at each position projected in a specified direction that is not occluded by the virtual 3D scene.

Autonomous unmanned aerial vehicle management service may provide a platform to manage groups of unmanned aerial vehicles to work together on a task simultaneously in an autonomous manner.

The present invention provides a stackable drone and a drone swarm comprising at least two stackable drones. Each drone comprising: a fuselage comprising a first end and a second end; a mating structure arranged in the fuselage and configured to have an opening at the first end of the fuselage, the mating structure forming a mating recess on a first side of the fuselage, the mating recess having an opening at the first side of the fuselage for receiving a mating projection from a further stacking unmanned aerial vehicle. The stackable drones do not require a large area of ground for take-off and landing, require only a small space for storage and transportation. When landing, based on the conical or pyramidal structure, the drone may slide down by gravitational force into the mating recess of another drone thereunder without needs of high precision positioning or alignment system.

A mobile safety device (1) is for rescuing at least one person at risk of falling. The safety device includes a support device (2) in the form of a jumping cushion, jumping sheet, platform, base plate or stretcher for receiving and transporting the person at risk of falling. A positioning device (3) locally positions the support device (2) at the location of the person at risk of falling. At least one unmanned, remote-controlled drone (4a, 4b, 4c, 4d) is provided as the positioning device (3).

A new artificial intelligence and swarm intelligence method and system in simulated environments for autonomous drones and robots for suppression of forest fires, which foresees the simulation of swarm intelligence models in simulated environment for autonomous drones and robots for suppression of forest fires, performing the analysis of forest fires based on data and information on real time conditions or historical data, of a burning area, transforming same into a simulation environment to obtain a better strategy for firefighting, based on virtual reality environments for digital land, with a mixture of real and virtual images, using satellite/aerial images and combined maps of virtual reality, augmented and mixed. Thus, providing improvements and higher efficacy in combatting forest fires.

Disclosed are methods, devices, and computer-readable media for operating paired or grouped drone devices. In one embodiment, a method is disclosed comprising capturing a first image by a camera installed on a first drone device; processing the first image using an artificial intelligence (AI) engine embedded in the first drone device, the processing comprising generating a first inference output; transmitting the first inference output to a second drone device; receiving a second inference output from the second drone device, the second inference output associated with a second image captured by the second drone device; and transmitting the first image to a processor based on the first inference output and second interference output.

A power recharging system may include an electrical conductor connected to a first aircraft and configured to connect to a second aircraft while the aircrafts are in flight. An AC signal may be induced in the electrical conductor it is in proximity to a changing magnetic field. The system may include a first rectifier circuit at the first aircraft that converts the AC signal into a DC signal for charging the first aircraft and a second rectifier circuit at the second aircraft that converts the AC signal into a second DC signal for charging the second aircraft. The electrical conductor may be part of a communication line. A communication system at the first aircraft may send and receive data communications via the communication line.