The present inventive concept provides for a method of unmanned machine synchronization using robotic sensing. The method includes generating at least one physical signal in the vicinity of at least one unmanned machine. The at least one generated physical signal is received by the at least one unmanned machine. At least one task is performed by the at least one unmanned machine based on the at least one received generated physical signal.

An aerial vehicle is configured to calculate ranges to objects around the aerial vehicle when operating within indoor spaces, using a LIDAR sensor or another range sensor. The aerial vehicle calculates ranges within a plurality of sectors around the aerial vehicle and identifies a minimum distance measurement for each of the sectors. Sets of adjacent sectors having distance measurements above a threshold are identified, and bearings and minimum distance measurements of the sets of adjacent sectors are determined. When the aerial vehicle detects an object within a flight path, the aerial vehicle selects one of the sets of adjacent sectors based on the minimum distance measurements and executes a braking maneuver in a direction of the selected one of the sets of adjacent sectors.

Systems, devices, and methods for determining, by a processor, an unmanned aerial system (UAS) position relative to at least one flight boundary; and effecting, by the processor, at least one flight limitation of a UAS if the determined UAS position crosses the at least one flight boundary.

A method for controlling secure delivery of a medication package includes receiving a medication delivery request to deliver a medication package to a first delivery location. The method also includes identifying one or more authenticated delivery locations corresponding to a recipient and determining whether the one or more authenticated delivery locations includes the first delivery location and, in response to a determination that the one or more authenticated delivery locations includes the first delivery location, instructing an unmanned aerial vehicle to transport the medication package from a starting location to the first delivery location. The method also includes, in response to the unmanned aerial vehicle communicating authentication data, determining whether the authentication data corresponds to the recipient. The method also includes, in response to a determination that the authentication data corresponds to the recipient, instructing the unmanned aerial vehicle to release the medication package to the recipient.

An aerial vehicle is provided. The aerial vehicle can include a plurality of sensors mounted thereon, an avionics system configured to operate at least a portion of the aerial vehicle, and a machine vision controller in operative communication with the avionics system and the plurality of sensors. The machine vision controller is configured to perform a method. The method includes obtaining sensor data from at least one sensor of the plurality of sensors, determining performance data from the avionic system or an additional sensor of the plurality of sensors, processing the sensor data based on the performance data to compensate for movement of the unmanned aerial vehicle, identifying at least one geographic indicator based on processing the sensor data, and determining a geographic location of the aerial vehicle based on the at least one geographic indicator.

Boundary information associated with a three-dimensional (3D) flying space is obtained, including a boundary of the 3D flying space. Location information associated with an aircraft is obtained, including a location of the aircraft. Information is presented based at least in part on the boundary information associated with the 3D flying space and the location information associated with the aircraft, including by presenting feedback in proportion to the distance between the boundary of the flying space and the location of the aircraft. An intensity of the feedback increases in proportion to decreasing distance between the boundary of the flying space and the location of the aircraft.

A handheld module including a battery, an electro-mechanical interface, and a display. The electro-mechanical interface is configured to attach the handheld module to an image capture module, wherein when attached to the image capture module, the handheld module forms a communication link to the image capture module via the electro-mechanical interface and supplies power from the battery to the image capture module via conductors of the electro-mechanical interface. The display is configured to present images captured by the image capture module and received from the image capture module via the communication link.

Systems and methods for automated unmanned aerial vehicle recognition. A multiplicity of receivers captures RF data and transmits the RF data to at least one node device. The at least one node device comprises a signal processing engine, a detection engine, a classification engine, and a direction finding engine. The at least one node device is configured with an artificial intelligence algorithm. The detection engine and classification engine are trained to detect and classify signals from unmanned vehicles and their controllers based on processed data from the signal processing engine. The direction finding engine is operable to provide lines of bearing for detected unmanned vehicles.

A computerized system and method for managing a fleet of Unmanned Aerial Systems (UAS) collaboratively performing a mission. The system receives mission requirements comprising mission goals, area of operation, characteristics of each UAS and calculates data acquisition points in the area of operation according to mission goals, sensor types and constraints. It then calculates a flight plan for each UAS. Once flying in the field, the system verifies for each UAS at predetermined intervals during flight the UAS' aerial location at that time and compares the UAS aerial location to the expected aerial location according to flight plan in that time. If necessary, adjustments are made to the flight plan of one or more UAS. Other considerations for flight adjustments are battery power level, mission goal accomplishments, signal quality and more.

Presented herein is a method and system for managing one or more missions of a vehicle. The apparatus includes one or more processors configured to control and manage flight missions and includes an active storage for executing a current mission, and a separate passive storage for subsequent missions. Subsequent missions are cued on the second storage to be validated and may be modified in view of additional information, prior to execution for maintaining positive control over the aircraft. The one or more processors are further configured to store a plurality of missions, including the current mission and a second mission, in a data store of a mission manager, each of the plurality of missions including a task graph having selected tasks to be completed for the mission, and a route map including a route for the vehicle to travel on the mission.