Systems and methods for performing insurance damage inspection by an unmanned aerial vehicle (UAV) are provided. A computing device may receive a request to inspect a property, the request comprising a location of the property. The computing device may identify a UAV from a plurality of UAVs that is located closest to the location of the property from other UAVs in the plurality of UAVs. The computing device may instruct the UAV to travel to the location of the property. The computing device may instruct the UAV to collect damage information on the property using one or more onboard sensors of the UAV. The computing device may determine an amount of insurance payout to approve for repairs to the property based on the damage information collected by the UAV.

A flying object 20 is provided with a rotor blade 200 that generates lift and thrust by rotating and a rotating electrical machine unit that rotates the rotor blade 200. The rotor blade 200 receive wind power and rotate when not flying. The rotating electrical machine unit generates electric power based on a power that rotates the rotor blades 200 when not flying. In addition, the flying object 20 may be provided with a power storage device 230 that stores electric power generated by the rotating electrical machine unit. In addition, the flying object 20 may be provided with a detachably connected cartridge 260 that has a desired function.

A self-charging modular portable survival drone that recharges by natural elements is disclosed. The self-charging modular portable survival drone is capable of conventionally charging other devices, performing remote flight operations, and signaling for help. The natural elements include wind and water. The self-charging modular portable survival drone is configured to rapidly and repeatedly charge mobile battery units stored in ducted fan assemblies. The ducted fan assemblies can be used to charge personal electronic devices and power remote flight operations via modular drone. The self-charging modular portable survival drone can be used to signal for help using onboard high-output LEDs during SOS flight operations. The self-charging modular portable survival drone can further be used, during SOS flight operations, to broadcast current GPS coordinates over local search and rescue bands.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for receiving a request to deploy an aerial drone to assist an emergency vehicle from a first location to a second location; determining a route to be traversed by the emergency vehicle from the first location to the second location based on the request; and deploying the aerial drone to traverse the route in advance of the emergency vehicle.

Methods, apparatus, systems, and articles of manufacture for unmanned vehicle assistance for submerged host vehicles are disclosed. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to determine an occurrence of a reduced operational capability of a vehicle, the vehicle at least partially submerged in a body of water, cause an unmanned vehicle (UV) to separate from the vehicle in response to the occurrence of the reduced operational capability, and determine positional information corresponding to the UV based on the UV reaching or departing a surface of the body of the water.

Aspects include methods, systems and computer program products for evaluating a patient for a movement disorder. The method comprises defining a patient to be evaluated and deploying a unmanned aerial vehicle (UAV) to a location of the patient. The UAV includes a patient evaluation feature and at least one sensor operably coupled to the patient evaluation feature. The UAV is positioned relative to the patient to measure a patient motor characteristic. The patient motor characteristic is measured with the at least one sensor. A movement disorder is determined based at least in part on the measured patient motor characteristic. A signal is transmitted based on the detecting the movement disorder.

An example autonomous vehicle includes a communication interface for receiving instructions to perform a first task in an environment using a first strategy, sensors for detecting conditions in the environment to carry out the first task, data storage storing a plurality of task interruption scenarios each having an associated priority setting, and a processor for executing instructions for autonomous decision-making to perform functions. The functions include during performance of the first task, identifying that the conditions in the environment are associated with one of the plurality of task interruption scenarios, determining that the identified task interruption scenario is associated with a second task that has a higher priority setting than the first task, determining an asset needed to perform the second task, and based on the autonomous vehicle having the asset, autonomously (i) stopping performance of the first task and (ii) changing to perform the second task.

An unmanned aerial vehicle (UAV) or manned/unmanned personal flying device (PFD) may be used to deliver a deployable descent system to an elevated location at which people await rescue, such as people trapped in an upper story of a burning building. The UAV or PFD may be used to deliver the descent system, attach the descent system to the building, and deploy the descent system. After deployment, the descent system may be tensioned to prevent sway and facilitate descent. Standoffs may be installed or integrated into the descent system to provide for adequate handholds for descending individuals. Various equipment and methods used in such systems are described herein.

A method for providing medical services to a patient, including: receiving a medical service request associated with a patient location; selecting an aircraft, located at an initial location, from a plurality of aircraft based on the patient location and the initial location; determining a flight plan for flying the aircraft to a region containing the patient location; at a sensor of the aircraft, sampling a first set of flight data; at a processor of the aircraft, autonomously controlling the aircraft to fly based on the flight plan and the set of flight data; selecting a landing location within the region; and landing the aircraft at the landing location, including: sampling a set of landing location data; determining a safety status of the landing location based on the set of landing location data; outputting a landing warning observable at the landing location; at the sensor, sampling a second set of flight data; and in response to determining the safety status and outputting the landing warning, autonomously controlling the aircraft to land at the landing location based on the second set of flight data.

This method utilizes drones, signals technology, and non-lethal tranquilizer rounds to neutralize violent aggressors that pose a societal threat. The method described creates the unexpected result of allowing the user to take a draconian approach to said threats with minimal loss of life.