A Vehicle Based Independent Range System (VBIRS) (10) comprised of individual stacked chambered modules that function as a single integrated system that provides a self-contained space based range capability, and is comprised of a power module (12), an artificial intelligence/autonomous engagement/flight termination system module (20), a satellite data modem module system (30) and a navigation, communications and control module system (40), all of which interface with a VBIRS test and checkout system (52) and a weather data system (116). The artificial intelligence/autonomous engagement/flight termination system module (20) is comprised of an inherent artificial intelligence capability that envelopes and interchanges data with an autonomous engagement controller (22) that contains all missile/rocket autonomous cooperative engagement, destruct decision software and range safety algorithm parameters required for optimum mission planning. VBIRS employed aboard an aircraft or between any combination of launching systems allows that aircraft to launch a missile/rocket from any location on earth, whether the missile/rocket is singularly launched by itself or as a larger group of missiles/rockets launched in a salvo arrangement, while providing collaborative real-time targeting to occur directly between missiles/rockets in conjunction with other missile/rocket launch platforms or stand-alone mission control centers.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for sending a flight plan for execution by a drone, where the flight plan is adapted to a flight controller of the drone. Receiving flight data from the drone while the drone is executing the flight plan. Determining a modification to the flight plan based on the flight data received from the drone. Sending the modification to the flight plan to the drone while the drone is executing the flight plan, such that the drone executes the flight plan as modified by the modification.

A method for controlling a movable object includes obtaining a signal strength of a remote control signal received by the movable object, obtaining a movement path of the movable object in response to the signal strength being less than a preset strength threshold, controlling the movable object to enter a backtrack return mode to return along the movement path, and controlling the movable object to exit the backtrack return mode in response to the signal strength being greater than the preset strength threshold.

Flight path determination for unmanned aerial vehicles (UAVs) in which three-dimensional coverage information, corresponding to a wireless network, is used to optimize the flight path to ensure that the UAVs maintain network coverage throughout the flight. The flight path information may be provided as a service to UAV operators. In one implementation, network coverage for a cellular network may be mapped in a three-dimensional manner. That is, the radio signal strength of the network may be mapped at various heights that correspond to heights at which UAVs are likely to fly.

Systems and methods for drone air traffic control management include, in an air traffic control system configured to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, communicating to one or more UAVs over one or more wireless networks, wherein the one or more UAVs are configured to constrain flight based on coverage of the one or more wireless networks; receiving weather information related to the geographic region; analyzing the weather information with respect to a flight plan of the one or more UAVs; and providing changes to the flight plan based on the analyzing the weather information, wherein the changes include one or more of course corrections and route optimization based on the weather information.

Provided are a flight simulation and control method of a unmanned aerial vehicle with regenerative fuel cells and solar cells for high altitude long endurance, and a control apparatus thereof. The high altitude long endurance simulation method for an unmanned aerial vehicle based on regenerative fuel cells and solar cells includes: a variable inputting step of inputting design variables of the unmanned aerial vehicle based on regenerative fuel cells and solar cells; a modeling step of performing modeling of the unmanned aerial vehicle based on regenerative fuel cells and solar cells using the design variables input in the variable inputting step; and an analyzing step of analyzing a modeling result in the modeling step to perform a high altitude long endurance simulation while controlling any one of the design variables input in the variable inputting step.

An unmanned aerial vehicle (UAV) may be used to deliver a package. The UAV may include a communication interface configured to receive a request to transport a package from a customer and a navigation unit configured to direct the UAV to the package. The UAV may also include a sensor configured to determine at least one of a weight and a plurality of dimensions of the package and a schedule unit configured to adjust a pick up schedule for a one or more other packages based on at least one of the weight and the plurality of dimensions of the package.

A drone that can pour a variety of chemical agents such as oxidizers, silica gelling agents, enzymes, and neutralizers onto areas contaminated with chemical and biological weapons of mass destruction. The use of a drone to destroy the chemical and biological weapons of mass destruction is highly beneficial since it allows the exposed toxic areas to be remotely decontaminated without the presence of humans.

Method, system, and user terminal are disclosed for splicing a flight route splicing m. Various embodiments may includes: obtaining a first flight route and a second flight route of an unmanned aerial vehicle; extracting a flight height of a highest waypoint having a greatest flight height in the first flight route and the second flight route and ground elevations of a series of waypoints between a termination waypoint of the first flight route and a start waypoint of the second flight route; obtaining a flight height of an intermediate flight route; determining the intermediate flight route; and splicing the first flight route and the second flight route according to the intermediate flight route to generate a spliced flight route.

A system may be configured to manage at least one robotic device. The system may comprise one or more databases and one or more processors in communication with the one or more databases. The one or more processors may be configured to provide an operating system for the at least one robotic device, control motion of the at least one robotic device, configure at least one sensor removably coupled to the at least one robotic device, process data collected by the at least one sensor, and/or perform localization and/or area mapping for the at least one robotic device by comparing data collected by the at least one sensor with data in the one or more databases to generate localization and/or area mapping data.