An operation management device (20) generates a route along which an autonomous mobile robot (10) travels from a departure point(S) and passes through delivery destinations (N1) to (N12) by moving. A processor (21) of the operation management device (20) acquires the order of the delivery destinations (N1) to (N12) for passing through the delivery destinations (N1) to (N12) by a shortest route. The processor (21) further generates a route for passing through the delivery destinations (N1) to (N12) by moving multiple times from the departure point(S), based on the acquired order.

An agricultural hitch with a system for management and guidance of maneuvers and a method employed by the hitch is provided. The hitch includes a tractor, an agricultural machine hitched by an articulated linkage, and a system for management and guidance of maneuvers, provided with a computing and control unit. The computing and control unit or of the hitched agricultural machine constitutes the master unit of the system for management and guidance of maneuvers, and is adapted to compute a set path for a maneuver to come, by employing an algorithm for prediction of paths and an algorithm for optimization of path settings, and to automatically execute the maneuver or of assisting in semiautomatic execution of the maneuver by steering the tractor and by recording, during maneuvering, the differences between the predefined set path and the real or currently estimated path.

For easy setting of a path of an autonomously-traveling autonomous travel work vehicle, provided is a method for setting a path for an autonomous travel work vehicle to run and operate by determining positions with the use of a satellite positioning system so as to drive and carry out an agricultural field operation. The method includes inputting a front-to-back length of a vehicle body, a width of an implement and an overlapping amount of implements (24) in a width direction, positioning a work vehicle at inflection points successively along an outer circumference of the agricultural field and determining positions with the use of the satellite positioning system, setting a work area, an operation start position and an operation end position, a direction for starting reference traveling, headlands (HB) on both ends of the work area (HA), and a travel path (R) within the agricultural field.

An on-board navigation system for an unmanned aircraft system (UAS) operating in an unknown environment. A point-cloud sensor system generates point cloud data representing the unknown environment. An on-board processing system processes the point cloud data to generate both a 2-D occupancy grid and a 3-D voxel map, with the 2-D occupancy grid having cells with known (seen) and unknown data. Additional processing determines an amount of known-to-unknown (transitional) data in each cell, thereby determining unexplored regions. A cost is assigned to each unexplored region, based at least in part on the amount of transitional data in cells of the region. The unexplored regions are then sorted based on their costs, thereby determining an optimal region to explore. The 3-D voxel map is used to find a safe area within the optimal region where the UAS may fly. A flight path to the optimal region is then calculated.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. More specifically, systems, devices, and methods are configured to manage a fleet of autonomous vehicles. In particular, a method may include determining destination locations for autonomous vehicles, calculating, at an autonomous vehicle service platform, delivery locations to which the autonomous vehicles are directed, identifying data to implement a delivery location associated with an autonomous vehicle, and transmitting data representing a command to the autonomous vehicle. The command may be configured to cause navigation of the autonomous vehicle to the delivery location.

Provided herein is an autonomous or semi-autonomous vehicle fleet comprising a plurality of electric autonomous vehicles for apportioned display of a media, operating autonomously and a fleet management module for coordination of the autonomous vehicle fleet. Each autonomous or semi-autonomous vehicle comprising a screen configured to display the media. Activation, deactivation, brightness modification, in combination with specific media selection enables more efficient media display.

A method of performing an adaptive aerial survey includes capturing images of a target area, by at least one camera system disposed on an aerial vehicle, as the aerial vehicle travels along a flight map that includes a plurality of flight lines. The method also includes determining coverage of the target area based on the images captured by the at least one camera system, and adjusting at least one of the flight map and an orientation of the at least one camera system based on the coverage of the target area determined based on the images captured by the at least one camera system. The method can be performed by a control system including circuitry to perform the above steps.

Methods and systems for navigating unmanned aircraft to capture images a consistent distance from a surface of a structure, such as a roof, are disclosed, including a system comprising a computer system having one or more processors and one or more non-transitory computer readable medium, the processor(s) executing instructions to cause the one or more processors to: generate unmanned aircraft information including flight path information for capturing images of a roof section having a plane, the flight path information configured to direct an unmanned aircraft to fly a flight path based at least in part on a pitch of the roof section and information from one or more sensor indicative of a location of the roof section, the flight path configured to include waypoints at which the unmanned aircraft captures images at a consistent distance from the plane of the roof section.

A system and method for transporting cargo and containers across a body of water having at least one mothership vessel designed to carry at least one deployable and retrievable vessels within a hull portion of the at least one mothership vessel. The mothership vessel is designed to partially submerge its hull to flood its well deck wherein the plurality of deployable and retrievable vessels may be deployed or retrieved, the deployable and retrievable vessels allowed to float when the well-deck of the mothership vessel is flooded. At least one mathematical model is used to find a solution for given routes along one or more legs between ports, the mothership vessel, and the deployable and releasable vessels, the route substantially to manage supply chain optimization of the cargo carried on the mothership vessel and the costs and pace of travel. Machine learning may aid in calculations.

The disclosure generally relates to a method and a system for heterogeneous autonomous mobile robots for coverage path planning. The method may include receiving sensor data from one or more sensor devices. The sensor data includes information corresponding to one or more robots in a predefined region. The method may further include generating a map for the one or more robots based on the received sensor data. The map includes a probable occupancy of each of the plurality of cells by the one or more robots in the predefined region. The method further includes determining a set of poses of the one or more robots based on the generated map and an optimal set of poses from the set of poses based on the visibility matrix. The method may further include generating a coverage path plan for each of the one or more robots based on the determined optimal set of poses.