In some embodiments, an apparatus includes a fuselage of an unmanned aircraft that includes a first section removably coupled to a second section, and a third section removably coupled to the second section such that the second section is disposed between the first section and the third section in a vertical direction. The first section includes a first rotor and a second rotor disposed at a non-zero spaced distance in the vertical direction from each other. The first rotor and the second rotor share a common and aligned rotational axis defined along a longitudinal centerline of the fuselage defined in the vertical direction. The second section is configured to contain a selected payload, and the third section includes a control system. A plurality of legs are coupled to the third section and serve as landing gear for the unmanned aircraft.

In one example, a position of landscape modifiers within a worksite is determined and a position output indicative of the position of the landscape modifiers is generated. Based on the position output, different types of worksite areas within the worksite are identified and an area identifier output indicative of the types of worksite areas is generated, as is a location of the worksite areas within the worksite. The worksite areas are prioritized based on the type. A route is generated for an unmanned aerial vehicle (UAV) based on the prioritized worksite areas. Control signals are provided to the UAV based on the route.

In another example, a user input mechanism on a user interface is configured to receive a user input indicative of field data for a worksite and at least one vehicle control variable for controlling an unmanned aerial vehicle (UAV) to carry out a worksite mission within the worksite. Dependent variables related to the field data are calculated, as are at least one vehicle control variable, based on the received user input indicating the field data and the at least one vehicle control variable. A display of the calculated dependent variables along with the field data is generated with at least one vehicle control variable on a user interface device. Control signals are provided to the UAV based on the field data, the at least one vehicle control variable and calculated dependent variables.

A portable launch rig (PLR) may include a support structure including two side supports defining an interior space for lifting and filling a balloon envelope of a balloon. Wheels on each of the side supports enable the PLR to be moved in various directions in order to prepare the PLR for launching the balloon. The side supports are connected by a lateral support beam having a pair of cranes arranged thereon. Each crane has an arm arranged over the interior space that is connected to a spreader beam. The spreader beam includes a lift assembly configured to lift and inflate the balloon envelope within the interior space. The PLR includes a platform and perch for supporting and moving the balloon envelope. A door assembly of the PLR includes a plurality of hangar doors configured to block wind from a respective direction of each hangar door entering the interior space.

A movable radio base station, M-RBS, configured to provide to a plurality of user equipments wireless access to a telecommunications network is changed from a first mode to a second mode that is different from the first mode. Each of the first mode and the second mode specifies a set of parameter values for operating parameters of the M-RBS.

Techniques are disclosed for cooling an unmanned aerial vehicle (UAV). In some examples, a heat sink is coupled to a portion of the UAV that is to be cooled. One or more heat pipes are coupled to the shim, and extend to one or more propulsion engines of the UAV. Liquid in a heat pipe is heated to gaseous form at the heat sink, and the vapor travels to a portion of the heat pipe near the propulsion engine, where the vapor is cooled by air moved by the propulsion engine, upon which the vapor returns to liquid form and travels back to the heat sink.

The embodiments disclose a method including providing an aerial drone coupled wirelessly to a social distancing application on a user digital device, wherein the drone is coupled to solar cell panels for recharging its batteries, providing a strobe light coupled to the drone for signaling an S.O.S. automatically in emergency situations, cellular communication device coupled to the drone for transmitting and receiving messages from the social distancing application, wherein the drone includes a cellular signal strength sensor to automatically move to a location to boost cellular signal strength, and providing at least one camera for capturing images and videos during user directed reconnaissance, drone sensors to detect and measure aerosols including biologics and DNA in an area, electromagnetic fields, barometric pressure, humidity, ambient temperature, wind speed and direction, detection and identification devices to detect unnatural sounds, to analyze and identify manmade, animal and environmental objects and conditions using computer vision.

Techniques for using an aerial vehicle to provide a data service are provided. For example, information about a request for the data service is accessed. The request is sent to a provider computing device and identifies a user computing device to receive the data service. The provider computing device is configured to provide the data service. A location associated with providing the data service is determined based on the request. The aerial vehicle is flown to the location. The aerial vehicle includes a computing system configured to provide a portion of the data service. Based on detecting that the aerial vehicle is within a range of the location, the aerial vehicle provides the portion of the data service to the user computing device by using, for example, the computing system.

A moving body identification system for identifying moving bodies, whereby: moving state information is acquired, including first position information of multiple moving bodies which are detected by a moving state monitoring device monitoring moving states of the moving bodies; predetermined report information is acquired from the moving bodies, including second position information of the moving bodies measured by themselves; and registration statuses of the moving bodies are identified on the basis of the first position information and the second position information.

An unmanned aerial vehicle (UAV) is disclosed. The UAV comprises a battery, a flight mechanism, a radio frequency (RF) transceiver, a processor, a memory, and an application stored in the memory. When executed by the processor, the application discovers an environment where the UAV operates by flying in the environment to determine its boundaries; creates a map of the environment that the UAV flew through; and shares the map with a social robot. The application receives a command from the social robot via the RF transceiver, wherein the social robot receives a verbal request from a user of the social robot, wherein the social robot transforms the user request to a command for the UAV. The application then performs the command from the social robot. The application then lands on a designated charging pad to conserve energy. The application then transmits a report back to the social robot.

An apparatus comprising a contactless battery synchronous power and a battery management system (BSP-BMS) is disclosed. This system includes a battery monitoring unit for monitoring the state of the batteries and a synchronous power unit for controlling the intensity and direction of current during both, charging and discharging processes, including one or several opto-inductive discs for the wireless energy transfer and fast and a lightweight communication scheme. The full system disclosed in this invention is very small in size, lightweight, cost effective and reliable due to its scalable structure, easy parallelization of current control elements and paths, and local and reliable opto-inductive coupling. The invention is aimed at universal, fast and automated charge processes and internal stored energy management for unmanned autonomous vehicles (UAVs) but it can be an effective solution for manned electric vehicles like electric bikes, electric motorcycles or other electric powered vehicles.