Embodiments of the present disclosure may include a method for optimizing flight of an unmanned aerial vehicle (UAV) including a payload, the method including receiving one or more human-initiated flight instructions. Embodiments may also include determining a UAV context based at least in part on Inertial Measurement Unit (IMU) data from the UAV. Embodiments may also include receiving payload identification data. Embodiments may also include accessing a laden flight profile based at least in part on the payload identification data. Embodiments may also include determining one or more laden flight parameters. In some embodiments, the one or more laden flight parameters may be based at least in part on the one or more human-initiated flight instructions, the UAV context, and the laden flight profile.

A system and method employing an autonomous aerial vehicle programmed to stimulate a pet to engage in playful activities exercising the pet. The system is capable of executing a variety of rapid movements and emitting specific sounds designed to elicit reactions from the pet, such as barks, whines, and human utterances. In a learning mode, the system analyzes pet reactions to various stimuli. In a normal mode, it prioritizes movements and sounds that generate the most intense responses. The system includes safety measures to maintain a safe distance between the vehicle and the pet, ensuring that the vehicle automatically retreats if the pet comes too close. The system autonomously returns to its launch position when the pet disengages or when battery levels are low.

In a delivery system S including an UAV 1 and a management server 2, the UAV 1 controls at least a position and/or an orientation of the UAV 1 so that a package placed in a release location and a peripheral region of the package fall within an angle of view of a camera. And then, the UAV 1 saves, as an image that proves delivery completion of the package, an image of the peripheral region including the package captured by the camera in a storage unit 15 of the UAV 1 or a storage unit 22 of the management server 2.

Disclosed herein are system, method, and computer program product embodiments for locating, identifying, and tracking a known criminal, fugitive, missing person, and/or any other person of interest. An embodiment operates by deploying an unmanned aerial vehicle, determining the mode of operation of the UAV, operating the UAV in accordance with the mode of operation of the UAV, determining whether a subject has been detected, capturing a first voice sample associated with the subject, authenticating the identity of the subject, and transmitting the GPS location of the unmanned aerial vehicle to a computing device.

A localization system comprises: a device; a master unit which wirelessly transmits a first localization signal; a plurality of lateration units distributed about the area within which the device is being localized, wherein each lateration unit of the plurality independently starts its own timer upon its receipt of the first localization signal; and a localization unit. The device receives the first localization signal and responsively wirelessly transmits a second localization signal. Each of the lateration units: independently receives the second localization signal; stops its respective timer responsive to receipt of the second localization signal; and wirelessly transmits a timer count signal to a localization unit. The timer count signal identifies the transmitting lateration unit and a count of its respective timer. The localization unit utilizes the plurality of timer along with respective distances between the master unit and the lateration units to localize the first device via time-of-flight lateration.

A localization system comprises: a device; a master unit which wirelessly transmits a first localization signal; a plurality of lateration units distributed about the area within which the device is being localized, wherein each lateration unit of the plurality independently starts its own timer upon its receipt of the first localization signal; and a localization unit. The device receives the first localization signal and responsively wirelessly transmits a second localization signal. Each of the lateration units: independently receives the second localization signal; stops its respective timer responsive to receipt of the second localization signal; and wirelessly transmits a timer count signal to a localization unit. The timer count signal identifies the transmitting lateration unit and a count of its respective timer. The localization unit utilizes the plurality of timer along with respective distances between the master unit and the lateration units to localize the first device via time-of-flight lateration.

An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.

An embodiment establishes a potential energy source database based at least in part on sensor data received from a satellite, wherein the potential energy source database comprises coordinate data representative of a plurality of potential energy source locations. The embodiment instructs a robot to travel to a potential energy source location of the plurality of potential energy source locations. The embodiment scans the potential energy source location for a potential energy source. The embodiment detects the potential energy source in the potential energy source location. The embodiment evaluates whether the potential energy source meets a predetermined suitability criteria. The embodiment classifies the potential energy source as a suitable energy source. The embodiment instructs the robot to insert a pair of electrodes into the suitable energy source to generate an electrical current to charge a battery of the robot.

A drone-mounted X-ray payload device designed for the safe and autonomous inspection of compression dead-ends on power lines is disclosed. The device comprises a lightweight, durable frame with parallel-aligned frame members fastened together by a support cage. The cage includes a ring for mounting the device to a drone. A cantilever X-ray panel housing is attached to the frame and houses an X-ray plate and includes movable pivoting supporting members to prevent lateral movement of the plate. The device also incorporates an X-ray generator and antenna support frame, facilitating the positioning and movement of the X-ray generator. Additional features include a radio antenna for drone operation and a system of rubber wheel drivers, an electric motor for autonomous movement, and precise positioning of the X-ray plate relative to the power lines. The device enables remote operation and improved access to difficult-to-reach areas of power lines.

A drone-mounted X-ray payload device designed for the safe and autonomous inspection of compression dead-ends on power lines is disclosed. The device comprises a lightweight, durable frame with parallel-aligned frame members fastened together by a support cage. The cage includes a ring for mounting the device to a drone. A cantilever X-ray panel housing is attached to the frame and houses an X-ray plate and includes movable pivoting supporting members to prevent lateral movement of the plate. The device also incorporates an X-ray generator and antenna support frame, facilitating the positioning and movement of the X-ray generator. Additional features include a radio antenna for drone operation and a system of rubber wheel drivers, an electric motor for autonomous movement, and precise positioning of the X-ray plate relative to the power lines. The device enables remote operation and improved access to difficult-to-reach areas of power lines.