A conveyance robot includes a main body at which a conveyed object can be placed; a driving wheel provided at the main body; a memory; and a processor coupled to the memory. The processor is configured to control the driving wheel such that a progress direction of the conveyance robot is configured to match an extension direction of a running path guide portion, the running path guide portion extending along a running path that is along a wall face of a wall disposed in a building.

The present disclosure provides various aspects for mobile and automated processing utilizing additive manufacturing and the methods for their utilization. In some examples, discrete material formats for use in an Additive Manufacturing Array are disclosed. Methods of using the additive manufacturing robot, discrete materials, and the roadways produced with the additive manufacturing robot are provided. A combined function Addibot, with Additive Manufacturing capabilities, cleaning capabilities, line painting capabilities and seal coating capabilities which may be used in concert with a camera equipped aerial drone for design and characterization function is described.

A vehicle controller device including: a communication section configured to receive operation information to operate a vehicle from an operation device located externally to the vehicle; a first memory; and a first processor, the first processor being configured to: acquire peripheral information regarding a periphery of the vehicle from a peripheral information detection section; generate a travel plan for the vehicle based on the peripheral information of the vehicle; control autonomous driving in which the vehicle travels based on the generated travel plan and also control remote driving in which the vehicle travels based on the received operation information; predict that a compromised state in which autonomous driving of the vehicle becomes compromised will arise based on environmental information including meteorological information received by the communication section; and notify the operation device of the compromised state in a case in which the compromised state has been predicted to arise.

A driving handover control device includes a memory and a processor coupled to the memory. In a case in which driving is handed over from a first state in which a vehicle is traveling by remote driving by a first driver from outside the vehicle or by occupant driving by the first driver in the vehicle, to a second state in which the vehicle travels by the remote driving or the occupant driving by a second driver who is different from the first driver, the processor is configured to cause transition from the first state to a third state in which the vehicle is caused to travel by automatic driving, and then cause transition from the third state to the second state.

Systems, methods, and computer-readable media are disclosed for drone vehicle integration and controls. A vehicle device for controlling an unmanned aerial vehicle (UAV) may receive an input indicating a request to deploy the UAV from a vehicle. The vehicle device may determine that one or more deployment conditions are satisfied. The vehicle device may cause deployment of the UAV. The vehicle device may determine a control command for the UAV and a vehicle instruction associated with operating the UAV. The vehicle device may determine that the vehicle instruction has been satisfied, and may send the control command once the vehicle instruction is satisfied.

A vehicle control apparatus that controls movement of a vehicle in response to an instruction from a remote control terminal located outside the vehicle, the apparatus comprising: an obtaining unit configured to obtain an image captured by an image capturing unit configured to capture an image of a periphery of the vehicle; an operator detecting unit configured to detect an operator of the remote control terminal on the basis of the image obtained by the obtaining unit; a terminal detecting unit configured to detect a position of the remote control terminal relative to the vehicle; and a control unit configured to control, on the basis of a detection result from the operator detecting unit and a detection result from the terminal detecting unit, whether to permit or prohibit a remote control operation of the vehicle performed through the remote control terminal.

A system for localizing an autonomous vehicle to a target area can include a position indicator adapted for association with the vehicle in a three dimensional configuration, a detection device configured to detect the position indicator, a computation device configured to compute a position of the vehicle based on the detected position indicator and the relationship of the configuration to the vehicle orientation, a transmitter configured to receive information from the computation device and produce a signal carrying the information, a receiver configured to receive the signal from the transmitter and filter the information therefrom, and a control system configured for association with and control of one or more directional control components of the vehicle, the control being based on the information received from the receiver relating to localizing the vehicle to the target area. A method of for localizing a vehicle to a target area is also disclosed.

A method and apparatus for controlling the flight of an Unmanned Aerial Vehicle (UAV) are provided. The method includes: determining a starting flight position where a UAV is parked currently and a nose direction of the UAV (101); starting off from the starting flight position, and flying along a straight line in the nose direction (102); and when receiving a route adjustment instruction during the flight of the UAV, adjusting an air route of the UAV according to the route adjustment instruction (103). During the flight, an operator can correct an air route via a remote control apparatus without surveying and mapping when detecting that the UAV is flying off course; and the operator can make the UAV precisely fly along a desired straight line by means of simple operations.

A system, method and apparatus for executing tasks with unmanned vehicles is provided. The system includes an unmanned vehicle comprising: a chassis; a propulsion system configured to move the chassis; sensor(s) configured to sense features around the chassis; a memory storing feature reference data; a communication interface; and a processor configured to: receive, using the interface, a command having task data and a location associated with a given feature; control the propulsion system to move the chassis to the location; while the chassis is moving to the location, determine, using the sensor(s), that the given feature is detected based on the feature reference data; and, responsive to the given feature being detected, control the propulsion system to execute a task based on the task data.

Vision based guidance system and method for lawn mowing devices are disclosed. An exemplary method for operating an autonomous lawn mower includes receiving, via a receiver, a perimeter data set from a handheld computer. The perimeter data set includes a perimeter outline of at least one perimeter that is determined utilizing a GPS unit of the handheld computer. The exemplary method also includes collecting, via at least one camera, images of a set area within the perimeter outline and mowing, via a mowing blade, grass within the set area. The exemplary method also includes autonomously steering, via a controller, the autonomous lawn mower based on the perimeter outline of the at least one perimeter and the images captured by the at least one camera.