Provided is a method for delivering goods through an unmanned aerial vehicle group including a plurality of aircraft respectively connected to delivery target goods. The method comprises identifying, by a master aircraft of the unmanned aerial vehicle group, an actual load applied to each of the aircraft by the goods while the unmanned aerial vehicle group is flying to deliver the goods, and controlling the unmanned aerial vehicle group by the master aircraft to adjust the actual load applied to each of the aircraft.

The present technology is directed to a remotely controlled aircraft that can be transported without the risk of damaging certain components, such as the arms and/or propellers. In one non-limiting example, the remotely controlled aircraft technology described herein provides a housing that allows the arms of the remotely controlled aircraft to extend and/or retract through openings in the housing. When retracted, the arms and propellers are protected within an area of the structure of the housing, and when extended, the arms and propellers are operable to make the remotely controlled aircraft fly.

The present technology is directed to a remotely controlled aircraft that can be transported without the risk of damaging certain components, such as the arms and/or propellers. In one non-limiting example, the remotely controlled aircraft technology described herein provides a housing that allows the arms of the remotely controlled aircraft to extend and/or retract through openings in the housing. When retracted, the arms and propellers are protected within an area of the structure of the housing, and when extended, the arms and propellers are operable to make the remotely controlled aircraft fly.

The present invention provides a method for planning a shortest possible three-dimensional path for autonomous flying robots to traverse from one location to the other in a geographical region, including translating a three-dimensional (3D) environment, discretizing the 3D environment into a graph of many grid cells or nodes, employing a modified any-angle path planning algorithm to calculate non-uniform traversal cost of each grid cell and by averaging the total traversal costs along the path to shorten the corresponding computation time, whilst incorporating operational costs other than the traversal cost specific to the autonomous flying robots to be traversed. The shortest possible path found by the present method does not only consider the path length, but also takes different costs of traversing and operating the flying robots into account, which increases its feasibility and flexibility to be applied in a wide variety of situations and technological areas.

Embodiments include apparatus and methods for dispatching package delivery by aerial vehicles. The embodiments include a route module, a wind model, and a dispatcher. The route module is configured to generate a route for package delivery. The wind model configured to store wind factors associated with geographic areas and provide one or more wind factors associated with the route for package delivery. The dispatcher is configured to identify one or more aerial vehicles for assistance of package delivery in response to the one or more wind factors associated with the route and send a message to the one or more aerial vehicles.

The invention relates to a propulsion device for an aircraft, comprising a blade (2) which can be rotated about an axis of rotation (51) of the propulsion device along a circular path (52) and is mounted for pivoting about a blade bearing axis parallel to the axis of rotation; a pitch mechanism having a coupling device (31) and a bearing device (33); and an offset device (4) to which the blade is coupled, the offset device defining an eccentric bearing axis (41) which is mounted at an adjustable offset distance. The coupling device is coupled to the blade at a coupling point (32) which is positioned in such a way that the plane that comprises the blade bearing axis and the coupling point and the tangential plane to the circular path through the blade bearing axis include a certain, non-vanishing angle (w.sub.α) when the offset distance is set to zero. According to a second aspect the blade bearing axis is shifted toward the axis of rotation by a certain distance relative to the plane that extends through the center of mass of the blade and that extends parallel to the axis of rotation and to the chord of the blade.

A drone apparatus or arrangement is provided. The drone apparatus or arrangement includes a plurality of drone devices, each drone device including an unmanned vehicle configured to be controlled to hover in air at a desired height and move to a desired location, each drone device comprising a rechargeable battery connected to an exposed drone recharging surface, and a surface apparatus connected to the plurality of drone devices such that the plurality of drone devices are collectively controllable to reposition the surface apparatus to a desired location. Each drone device is configured to connect to and recharge at a compatible charging station including an exposed recharging station recharging surface configured to meet with one exposed drone recharging surface to recharge the rechargeable battery.

A method, apparatus, and system for charging an electrical storage system in a vehicle. The vehicle comprises a support frame, a propulsion, an electric storage system, an extendable structure, and a power management unit. The propulsion system, the electrical storage system, and the power management unit are physically coupled to the support frame. The electrical storage system supplies the electrical energy to the propulsion system. The group of thermoelectric modules physically is physically coupled to the extendable structure and generates a current in response to a heat being transferred through the group of modules. The power management unit is electrically coupled to the electrical storage system and the group of thermal thermoelectric modules and controls storing the electrical energy in the electrical storage system using the current from the group of thermoelectric modules and supplying the electrical energy to the propulsion system.

An aerial robot system may include an aerial robot having an airframe, a piezo actuator, a wing connected to the piezo actuator, and a photovoltaic cell. The system may further include a laser source configured to emit a laser beam oriented toward the photovoltaic cell for conversion by the photovoltaic cell into electrical energy. The aerial robot may further include a boost converter connected to the photovoltaic cell and configured to raise a voltage level of the electrical energy, and a signal generator connected to the boost converter and configured to generate an alternating signal. The piezo actuator is connected to the signal generator to move according to the alternating signal to cause the wing to move in a flapping motion to generate aerodynamic force that moves the robot. Methods for manufacturing aerial robots and corresponding electronics are also disclosed herein.

A bio-hybrid odor-localizing autonomous air vehicle includes an airborne robotic platform having a navigation platform, a wireless transmitter communicatively coupled to a management console, and a biological sensor mounted on the airborne robotic platform that reacts to at least one olfactory odor. A controller is communicatively coupled to the airborne robotic platform, the navigation platform, and the biological sensor. The controller monitors the biological sensor. In response to the biological sensor detecting the at least one olfactory odor, the controller directs the airborne platform to three-dimensionally map an olfactory plume of the at least one olfactory odor using an olfactory-driven search pattern. The controller stores the three-dimensional map for later retrieval or transmits the three-dimensional map of the olfactory plume to the management console via the wireless transmitter.