Aspects include a method, system and computer program product for alleviating an episode of a movement disorder condition for a patient. The method comprises deploying an unmanned aerial vehicle (UAV) to a location of a patient based on an occurrence of an episode of a movement disorder condition. A first gross sensory change stimulus is selected with a processor. The first gross sensory change stimulus is projected from the UAV. An attempt to alleviate the episode of the movement disorder condition is performed based at least in part on the projecting of the first gross sensory change stimulus from the UAV. The alleviating of the episode of the movement disorder condition is detected based on the gross sensory change stimulus from the UAV.

A method includes dispatching a drone to a site. The drone includes audio/visual equipment. The method includes logging a plurality of timestamped locations of the drone and receiving, from the audio/visual equipment, site data captured by an on-site operator of the audio/visual equipment. The method includes correlating a portion of the site data with at least one of the timestamped locations of the drone.

Using power line rights of way for UAV routing provides a direct, uninterrupted, aerially clear path to the vast majority of lots and buildings from nearby substations and generating stations. Segmenting or separating the UAV traffic by airframe glide ratio improves safety for people on the ground and utilization of the limited airspace. Further segmenting UAV traffic by airframe speed and size allows greater traffic throughput.

A protection system for a classroom or other space to protect against a terrorist. The system includes a fixed control unit and a mobile control unit. The fixed control unit contains a hanger for drones to be launched against the terrorist. The fixed control unit also includes data storage units, a computer, a computer program and a memory, power storage units, a sighting laser for obtaining location information about the terrorist and an etching laser for marking the terrorist, an optics system for receiving visual information, and a telecommunication unit to send and receive information. The mobile control unit is worn by a protecting person in the space and includes some of the same components as the fixed control unit. It also has a local aiming system that includes for example a rifle type sight. The drone is a self-contained, self-propelled robotic flying vehicle that can be very small or even the size of a mouse. It has a mag-lev engine, electrical storage units and an aeronautically shaped body.

In some implementations, a UAV flight system can dynamically adjust UAV flight operations based on radio frequency (RF) signal data. For example, the flight system can determine an initial flight plan for inspecting a RF transmitter and configure a UAV to perform an aerial inspection of the RF transmitter. Once airborne, the UAV can collect RF signal data and the flight system can automatically adjust the flight plan to avoid RF signal interference and/or damage to the UAV based on the collected RF signal data. In some implementations, the UAV can collect RF signal data and generate a three-dimensional received signal strength map that describes the received signal strength at various locations within a volumetric area around the RF transmitter. In some implementations, the UAV can collect RF signal data and determine whether a RF signal transmitter is properly aligned.

An exemplary unmanned aerial vehicle (UAV) mountable to a conductor of an aerial power transmission line system includes a body having a rotor system, a motivation system attached to the body to motivate the UAV along the conductor, a battery carried by the body and electrically connected to at least one of the rotor system and the motivation system, a monitoring tool mounted with the body and an inductive coil carried by the body and in electric connection with the battery, wherein the inductive coil is configured to harvest electricity from the aerial power transmission line system and charge the battery.

A method (10) for restoring a microwave link is provided. The method (10) is performed by a network entity (7) and comprises receiving (11) information from a node (3) controlling a microwave antenna (5), the information indicating that an obstacle is at least partly obscuring the microwave antenna (5), and instructing (12), based on the received information, an unmanned aerial vehicle (6) adapted for maintenance work to fly to a given location for removing the obstacle on the microwave antenna (5). A method (40) in a network node (3), a method (70) in an unmanned aerial vehicle (6) and devices are also provided.

Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

An unmanned aerial vehicle (UAV) includes a body that supports one or more rotors, the one or more rotors each driven by a motor and configured to provide lift to the body. The UAV further includes a parts handler coupled to the body, the parts handler configured to grasp a payload, and rotate the payload with respect to an external structure to couple the payload to, or decouple the payload from, the external structure. The UAV includes a stabilizing mechanism extending from the body, the stabilizing mechanism configured to contact the external structure without transferring entire weight of the UAV to the external structure and prevent rotation of the body when the part-handler rotates the payload.

Presently disclosed subject matter integrates a method of using thousands of semi-autonomous unmanned aerial vehicles, herein called drones, to deliver vastly superior amounts of fire retardant over substantially larger and variably-shaped drop patterns. Each drone is able to swap its own batteries with freshly charged batteries and each drone is able to refill its container with water or fire retardant. Once launched, a swarm of drones can perform repeated trips from the water/retardant source to the fire without human involvement other than the high-level tasking of where to drop the retardant. Once a general drop destination and drop pattern shape is designated, the swarm can transport retardant to that location, form itself into the desired drop shape, and deploy retardant. The drone body is designed to be modular so different components can be attached with ease and no special training or knowledge required.