Abstract: A method for ensuring the operation and integrity of a three-dimensional integrated logistical system that includes a plurality of drones and a plurality of service stations; each of the plurality of drones having a plurality of environmental sensors and a plurality of internal sensors. The plurality of drones is routed to a destination location through a fleet management software that monitors the plurality of drones and the plurality of service stations. The fleet management software is able to detect operational issues amongst the plurality of drones and if necessary reroute the plurality of drones to the plurality of service stations in order to resolve said operational issues. A robotic service unit in each of the plurality of service stations is able to autonomously service the plurality of drones in addition to equipping the plurality of drones with a designated payload.

Abstract: A control module for an unmanned aerial vehicle is provided. In one example, the control module includes a plurality of control modes, wherein each control mode represents a different autonomy setting, a command generator configured to generate a command causing a selection of a first of the plurality of control modes for the unmanned aerial vehicle, and an intelligence synthesizer that automatically switches the unmanned aerial vehicle between the selected first of the plurality of control modes and a second of the plurality of control mode upon detection of a trigger event.

Abstract: A control module for an unmanned aerial vehicle is provided. In one example, the control module includes a plurality of control modes, wherein each control mode represents a different autonomy setting, a command generator configured to generate a command causing a selection of a first of the plurality of control modes for the unmanned aerial vehicle, and an intelligence synthesizer that automatically switches the unmanned aerial vehicle between the selected first of the plurality of control modes and a second of the plurality of control mode upon detection of a trigger event.

Abstract: An autonomous control system for an unmanned aerial vehicle is provided. In one example, the control system includes a first control mode component configured to generate a first command to provide a first autonomous control mode for the unmanned aerial vehicle, a second control mode component configured to generate a second command to provide a second autonomous control mode for the unmanned aerial vehicle, and an intelligence synthesizer configured to resolve functional conflicts between the first and second autonomous control modes.

Abstract: Autonomous collision avoidance systems for unmanned aerial vehicles are disclosed. Systems illustratively include a detect and track module, an inertial navigation system, and an auto avoidance module. The detect and track module senses a potential object of collision and generates a moving object track for the potential object of collision. The inertial navigation system provides information indicative of a position and a velocity of the unmanned aerial vehicle. The auto avoidance module receives the moving object track for the potential object of collision and the information indicative of the position and the velocity of the unmanned aerial vehicle. The auto avoidance module utilizes the information to generate a guidance maneuver that facilitates the unmanned aerial vehicle avoiding the potential object of collision.

Abstract: An autonomous control system for an unmanned aerial vehicle is provided. In one example, the control system includes a first control mode component configured to generate a first command to provide a first autonomous control mode for the unmanned aerial vehicle, a second control mode component configured to generate a second command to provide a second autonomous control mode for the unmanned aerial vehicle, and an intelligence synthesizer configured to resolve functional conflicts between the first and second autonomous control modes.

Abstract: A scatterer gatherer method and device configured to remotely manipulate an apparatus. The scatterer sends a group of identical packets through a network. The route each packet takes through the network is determined by the network. The time taken for a first packet of a group to travel from origin to destination is unequal from that taken by a second packet of the group. A gatherer is configured to receive each packet, determine which is the first of the group of identical packets to arrive, store the first and discard the later arriving packets of the group. The gatherer further configured to interpolate to determine a value for a missing group of packets should none of the group arrives within a predetermined time. The method and device further configured to use the stored data to remotely manipulate an apparatus then provide feedback to the user through a return network path.

Abstract: Autonomous collision avoidance systems for unmanned aerial vehicles are disclosed. Systems illustratively include a detect and track module, an inertial navigation system, and an auto avoidance module. The detect and track module senses a potential object of collision and generates a moving object track for the potential object of collision. The inertial navigation system provides information indicative of a position and a velocity of the unmanned aerial vehicle. The auto avoidance module receives the moving object track for the potential object of collision and the information indicative of the position and the velocity of the unmanned aerial vehicle. The auto avoidance module utilizes the information to generate a guidance maneuver that facilitates the unmanned aerial vehicle avoiding the potential object of collision.

Abstract: Autonomous collision avoidance systems for unmanned aerial vehicles are disclosed. Systems illustratively include a detect and track module, an inertial navigation system, and an auto avoidance module. The detect and track module senses a potential object of collision and generates a moving object track for the potential object of collision. The inertial navigation system provides information indicative of a position and a velocity of the unmanned aerial vehicle. The auto avoidance module receives the moving object track for the potential object of collision and the information indicative of the position and the velocity of the unmanned aerial vehicle. The auto avoidance module utilizes the information to generate a guidance maneuver that facilitates the unmanned aerial vehicle avoiding the potential object of collision.

Abstract: Multi-sensor autonomous control of unmanned aerial vehicles systems and methods are disclosed herein. In one embodiment, a variable autonomy control system for an unmanned aerial vehicle include a variable autonomy processing unit. The variable autonomy processing unit illustratively receives inputs from multiple sensors. It utilizes the inputs to generate commands to control the unmanned aerial vehicle at variable autonomy levels.

Abstract: Unmanned aerial vehicle control systems are disclosed herein. In one embodiment, a method of controlling an unmanned aerial vehicle includes transmitting an indication of a take-off or landing location to the unmanned aerial vehicle. The unmanned aerial vehicle is launched. A control mode of the unmanned aerial vehicle is switched from an autonomous mode to a manual mode. The control mode of the unmanned aerial vehicle is switched from the manual mode to another autonomous mode, and the unmanned aerial vehicle is landed at the landing location.

Abstract: An unmanned aerial vehicle variable autonomy control system is disclosed herein. In one embodiment, the system includes a control mode interface that provides a plurality of selectable control modes for an unmanned aerial vehicle, wherein one of the plurality of selectable control modes comprises a target tracking mode. Also included is a target editor interface provided in response to a selection of the target tracking mode, wherein the target editor interface facilitates receipt of an input indicative of a ground based moving target. The system also includes a communications component that transmits a command to the unmanned aerial vehicle, wherein the command is based at least in part on the input indicative of a target.

Abstract: Unmanned aerial vehicle take-off and landing systems are disclosed herein. In one embodiment, a method of landing an unmanned aerial vehicle includes programming a landing location for the unmanned aerial vehicle utilizing a user input device. The unmanned aerial vehicle is launched. Communications between the unmanned aerial vehicle and the user input device are interrupted, and the unmanned aerial vehicle is landed at the landing location based on the programmed landing location and not based on any real-time communication between the unmanned aerial vehicle and the user input device.

Abstract: An unmanned aerial vehicle variable autonomy control system is disclosed. In one embodiment, the system includes a control mode interface that provides a plurality of selectable control modes for an unmanned aerial vehicle, wherein one of the plurality of selectable control modes comprises an autonomous landing mode. Also included is a route editing interface that, following a selection of the autonomous landing mode, facilitates a receipt of an input indicative of a landing location. The system also includes a communications component that transmits a command to the unmanned aerial vehicle, wherein the command is based at least in part on the input indicative of the landing location.