A method of determining a flight path for an aerial vehicle includes identifying during flight a change in a state of signal transmission occurring at a first location, and, in response to identifying the change, selecting a first destination within a proximity of a second location. A state of signal transmission at the second location during a previous flight is different from a state of signal transmission at the first location. The method further includes determining a first flight path to reach the first destination. The first flight path comprises accessible locations detected by one or more sensors onboard one or more aerial vehicles. The method also includes, upon reaching the first destination by the aerial vehicle, assessing in real time a state of signal transmission at the first destination, and determining a second flight path to a second destination based on the assessment.

Provided is a method including obtaining a map of an environment of a robot; maneuvering the robot to a first location and orientation that positions the robot to sense a part of the working environment at a second location of the working environment; sensing, while the robot is at the first location, the part of the physical layout of the working environment at the second location; updating the map of the physical layout of the working environment; determining at least a part of a route plan of the robot through the working environment; and maneuvering the robot along the at least the part of the route plan.

Provided is a method including obtaining a map of an environment of a robot; maneuvering the robot to a first location and orientation that positions the robot to sense a part of the working environment at a second location of the working environment; sensing, while the robot is at the first location, the part of the physical layout of the working environment at the second location; updating the map of the physical layout of the working environment; determining at least a part of a route plan of the robot through the working environment; and maneuvering the robot along the at least the part of the route plan.

The subject disclosure relates to techniques for optimizing autonomous vehicle activities at a fleet level. A process of the disclosed technology can include measuring a first set of cost metrics for a first plurality of autonomous vehicles (AVs) associated with a first vehicle routing version, wherein the first set of cost metrics comprises energy consumption values for two or more of the first plurality of AVs, measuring a second set of cost metrics for a second plurality of AVs associated with a second vehicle routing version, wherein the second set of cost metrics comprises energy consumption values for two or more of the second plurality of AVs, and comparing the first set of cost metrics with the second set of cost metrics to determine routing updates configured to reduce fleetwide energy consumption.

The invention is intended for organizing the process of targeted delivery of small doses of liquid chemical treatment agents from unmanned aerial vehicles, for example, in precision agriculture or animal husbandry. Delivery of the required dose of liquid chemical treatment agents to the required application area by series of one or more targeted ejections of a continuous, and optimally laminar, jet from the unmanned aerial vehicle in flight, according to the method and/or delivery system according to the invention, is performed without significant deflection of the liquid and its losses outside the application area compared to known methods and spraying devices, and, therefore, more environmentally friendly and economical; and the application system has a minimal negative impact on the application areas and ensures the motion of unmanned aerial vehicles along optimal and safe routes.

The management server 2 calculates a total weight of a plurality of articles loaded on the UAV 1 on the basis of weights of the articles included in each of a plurality of orders, and determines whether or not the unmanned aerial vehicle is capable of loading and delivering the articles included in each of the plurality of orders by comparing a loadable weight of the UAV 1 with the calculated total weight.

Methods and devices for determining routes for autonomous driving are provided. The following steps are executed: computing K alternative routes from a route source to a route destination; evaluating each one of the K alternative routes, wherein the evaluating comprises determining a Pareto front of the K alternative routes, wherein the Pareto front of the K alternative routes comprises a set of Pareto-optimized routes that are Pareto-optimized with regard to route constraints comprising travel time T, manual driving time T.sub.M, and transition count M that indicates a count of transitions from the autonomous driving to a manual driving in a route; if the set of Pareto-optimized routes comprises more than P routes, reducing number of Pareto-optimized routes in the set of Pareto-optimized routes to P; and outputting the Pareto-optimized routes of the set of Pareto-optimized routes as the determined routes for autonomous driving.

A mobile robot is configured to navigate on a sidewalk and deliver a delivery to a predetermined location. The robot has a body and an enclosed space within the body for storing the delivery during transit. At least two cameras are mounted on the robot body and are adapted to take visual images of an operating area. A processing component is adapted to extract straight lines from the visual images taken by the cameras and generate map data based at least partially on the images. A communication component is adapted to send and receive image and/or map data. A mapping system includes at least two such mobile robots, with the communication component of each robot adapted to send and receive image data and/or map data to the other robot. A method involves operating such a mobile robot in an area of interest in which deliveries are to be made.

In order to provide a method for controlling conveyor vehicles of a conveying system which permits an energy-efficient and cost-efficient operation of said conveying system, it is proposed that the method comprises: Making available a plurality of conveyor vehicles of the conveying system; Specifying a conveying job for conveying one or more conveyed objects; Determining a conveying job data set for controlling a conveyor vehicle when performing the conveying job; Carrying out the conveying job.

In order to provide a method for controlling conveyor vehicles of a conveying system which permits an energy-efficient and cost-efficient operation of said conveying system, it is proposed that the method comprises: Making available a plurality of conveyor vehicles of the conveying system; Specifying a conveying job for conveying one or more conveyed objects; Determining a conveying job data set for controlling a conveyor vehicle when performing the conveying job; Carrying out the conveying job.