A vertiport exchange station has a plurality of vertical takeoff and landing (VTOL) air taxis, a plurality of landing/takeoff pads arranged in a rectangular pattern, a passenger terminal for arrival and departure of passengers, a plurality of electric motor driven chassis each adapted to carry a pod adapted to carry one or more passengers, a transfer path guiding the chassis in a closed loop, and a control system. One or more incoming passengers enter a pod at the passenger terminal, an air taxi is guided to a specific pad, the chassis carrying the pod is transported to a point near the specific pad, is guided to stop on the specific pad, the air taxi is guided to connect to the pod, the pod is detached from the chassis, and the air taxi is guided to ascend and to proceed to a programmed destination.

An aircraft includes a fuselage airframe and a wing airframe that is subject to flight loads. The fuselage airframe includes fore/aft floor beams having a plurality of floor intercostals laterally extending therebetween and fore/aft roof beams with a plurality of roof intercostals laterally extending therebetween. Each of a plurality of cabin frames extends generally vertically between respective floor and roof beams. The wing airframe includes forward and aft wing spars with a plurality of wing ribs extending therebetween. At least one fuel tank, that is configured to contain a pressurized fuel such as pressurized hydrogen fuel, integrally forms at least a portion of one of the beams, the intercostals, the frames, the spars and/or the ribs such that the fuel tank is subject to the flight loads.

A modular autonomous aerial passenger vehicle is provided to automatically transport any person or luggage or capable of being used by the defense organizations for monitoring without any interference or need of human pilot. The autonomous aerial vehicle is comprising of an aerodynamic main body having 4 fixed arms each and 2 foldable arms each of which further having a pair of propellers coupled at the edge of each foldable arm, one at the top and one at the bottom. Further, the autonomous aerial vehicle further includes a power management system; safety system; interior cockpit having a HMI and seating arrangement, where the HMI is a brain computer interface that acquires signals from the brain and analyses them to convert it into commands. It includes a display unit and manual control unit; primary and auxiliary battery modules, flight control unit, plurality of sensors and cameras and other safety equipment for safe functioning of the present autonomous aerial vehicle.

Multi-rotor rotorcraft comprise a fuselage, and at least four rotor assemblies operatively supported by and spaced-around the fuselage. Each of the at least four rotor assemblies defines a spin volume and a spin diameter. Some multi-rotor rotorcraft further comprise at least one rotor guard that is fixed relative to the fuselage, that borders the spin volume of at least one of the at least four rotor assemblies, and that is configured to provide a visual indication of the spin volume of the at least one of the at least four rotor assemblies. Various configurations of rotor guards are disclosed.

A computer-implemented method, computer program product and computing system for processing a medical assistance request from a requester; defining an incident location for the medical assistance request; assigning an autonomous drone to the medical assistance request, thus defining an assigned autonomous drone; and dispatching the assigned autonomous drone to the incident location.

A computer-implemented method, computer program product and computing system for monitoring a plurality of drones moving within a controlled space; receiving a request from an additional drone seeking permission to move within the controlled space; plotting an additional navigation path through the controlled space based, at least in part, upon the plurality of drones and known obstacles within the controlled space; and providing the additional navigation path to the additional drone.

The method includes: controlling unmanned aerial vehicle to be aligned with ground orbit in destination site and continue to fly at predetermined flight altitude, in response to the unmanned aerial vehicle flying to first preset airspace near the destination site; controlling the unmanned aerial vehicle to be separated from first cabin carried by the unmanned aerial vehicle and place the separated first cabin at first position of lifting platform of shuttle vehicle driving along the ground orbit and controlling the unmanned aerial vehicle to be combined with second cabin carried at second position of the lifting platform, in response to the unmanned aerial vehicle flying to position directly above the first position and being in relatively static state with the shuttle vehicle; and controlling the unmanned aerial vehicle to fly to next destination site, in response to completion of the combination of the unmanned aerial vehicle and the second cabin.

Certain aspects of the present disclosure provide techniques for controlling at least one robot system. This includes offering control of a first robot to a first mobile application, indicating an available service offered by the first robot, and receiving instructions to perform the available service. This further includes delivering: (i) debris, (ii) dust, or (iii) cut grass to a stationary second garbage collection robot. A computing system maintains a device profile for the first robot, indicates the available service and a status of the first robot to the first mobile application, and is configured to update the first mobile application. The first robot is configured to drive while performing the available service and is controlled by at least one of: (i) a camera or (ii) a sensor, to avoid collision. The second robot is a stationary garbage collection robot configured to store the delivered debris, dust, or cut grass.

The invention discloses a waitressing drone that brings drinks to people at the restaurant, and the orders are identified from the Facebook photo of the user, that the drone displays when making the delivery. The invention facilitates the interaction with humans and drones via the social network. With the invention, the order input time is greatly reduced for the consumer, and the consumer may move about while waiting for the order as the drone finds the consumer. Also importantly, the social nature of the drone allows for the sharing of drones among multiple human users. Further, the interfacing of the social human profile with non-human drone profiles allows for the continuous retraining and reprogramming of drones to meet more specific and individualistic user tasks, thereby liberating people from mundane manual labour.

An apparatus and method for centralized control of a vehicle. The apparatus includes a processing circuitry; and a memory, the memory containing instructions that, when executed by the processing circuitry, configure the apparatus to: establish control of a vehicle, wherein establishing the control further includes determining a set of instructions for controlling the vehicle, wherein the apparatus is configured to control the vehicle based on the determined set of instructions; determine, for a node, a subset of the set of instructions for controlling the vehicle; generate a mission plan for the vehicle based on a request from the node when the request is valid, wherein the request indicates a requested navigation from a first location to a second location, wherein the request is not valid when the requested navigation is not in the subset of instructions; and send, to the vehicle, control instructions for navigating to the first location and control instructions for navigating from the first location to the second location based on the mission plan.