A system and method of controlling agriculture equipment which combines geographical coordinates, machine settings, machine position, path plans, user input, and equipment parameters to generate executable commands based of a variety of different in-field agricultural operation objectives for a vehicle equipped with an automatic or electronically controlled locomotion systems capable of reading and executing the commands.

An example system for flying to a target location is provided, comprising a parent aerial vehicle and at least one child vehicle releasably coupled to the parent vehicle. The parent vehicle is configured to transport the at least one child aerial vehicle to a region containing a target location, uncouple from the at least one child aerial vehicle, and transmit information to the at least one child aerial vehicle relevant to operation of the child aerial vehicle. The child aerial vehicle comprises at least one sensor for surveillance at the target location.

A robot management system (RMS) includes a plurality of service robots deployed within an operations venue that includes a plurality of gaming devices, an operator terminal presenting a graphical user interface (GUI) to an operator, and a robot management system server (RMS server) configured in networked communication with the plurality of service robots. The RMS server is configured to: identify location data for the service robots; create an interactive overlay map of the operations venue that includes a static map of the operations venue, overlay data showing the location data of the plurality of service robots over the static map, and an interactive icon for each service robot of the plurality of service robots; display, via the GUI, the overlay map; receive a first input indicating a selection of a first interactive icon associated with a first service robot; and display current status information associated with the first service robot.

Methods and systems are provided to facilitate information sharing between vehicles. A relay vehicle may be provided which is in communication with a first group of remote vehicles over a first network and a second group of remote vehicles over a second network.

In an approach to improve mobile computation while traveling by dynamically generating one or more routes base on computing resource requirements of one or more endpoint devices. Embodiments identify, in real time, a plurality of autonomous vehicles, wherein the plurality of autonomous vehicles are traveling along a common route. Further embodiments, adjust, in real time, relative positions and speeds of the plurality of autonomous vehicles to maintain the plurality of autonomous vehicles within a predetermined geographic area while traveling along the common route, and wherein the predetermined geographic area is sufficient to collectively provide an amount of edge computing resources to satisfy one or more computing resource requirements of the one or more endpoint devices located within a first autonomous vehicle. Additionally, embodiments adjust, in real time, a route of the first autonomous vehicle based on the common route of the plurality of autonomous vehicles providing the edge computing resources.

A method for improving wireless communication for a drone swarm, the method comprising, at a computing system, receiving, from a plurality of drones of a drone swarm, data comprising radio frequency signal characteristics detected by the plurality of drones; generating a model of a radio frequency environment for the drone swarm based on the data received from the plurality of drones; and controlling at least one wireless communication system to improve wireless communication for the drone swarm based on the model of the radio frequency environment.

A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path. There is further provided a corresponding method of controlling a plurality of unmanned aerial vehicles.

Systems and methods for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.

A technique for assessing development condition of a property is provided that determines development condition for an individual property or properties of interest using image or other sensor data from one or more unmanned aerial vehicles taken over the development process. A property condition output may be generated to indicate a condition of the property or properties.

Provided are a server and a system which enable one operator driving or operating a work machine to intuitively recognize advice or instruction from another operator. A route guidance request from a first work machine 40 cooperating a first client (first remote operation device 20) is accepted. A guided route R extending between a first designated position P1 and a second designated position P2 may be designated through an input interface 210 of a second client (second remote operation device 20). Then, route guidance information depending on the guided route R is outputted to an output interface 220 of the first client.