A mission control may receive, from a yard management system (YMS), a move request identifying a destination spot in a yard and one or more of a trailer identifier of a trailer to be moved, a pick-up spot of the trailer, and a trailer type. Mission control determines whether the move request is feasible for an autonomous vehicle (AV). When the move request is feasible, mission control generates a mission defining directives to control the AV to move the trailer from the pick-up spot to the destination spot and sets, via an application programming interface (API) of the YMS, a status of the move request to indicate autonomous move is scheduled.

A wireless communication system includes a receiver that is configured to be capable of self-propelled movement, performs movement control of the receiver based on a transmission timing of sensing information of a sensor, an installation position of the sensor, and a range in which reception is possible in a case where the sensing information is received from the sensor, and receives the sensing information of the sensor.

In an information processing apparatus, a work setting information acquisition unit configured to acquire a type of work performed by a movable apparatus, information with respect to a work region, and map information for self-position estimation created in advance, and a starting position and orientation calculation unit configured to calculate a starting position and orientation when the work is started based on the type of the work, the work region, and the map information are provided.

The disclosure relates to a vehicle remote control method, applied to a cloud control unit, where the method includes: acquiring network status information and running status information of a vehicle; in a case that the network status information indicates that the vehicle meets a remote control requirement, determining a vehicle control mode adapted to the running status information, where the vehicle control mode includes a remote driving vehicle control mode, a remote navigation vehicle control mode, or a remote monitoring vehicle control mode, and a control range of the cloud control unit increases in turn among the remote driving vehicle control mode, the remote navigation vehicle control mode, and the remote monitoring vehicle control mode; and performing control operation on the vehicle based on the vehicle control mode.

A server device includes a command generation unit that generates a running command for controlling running of a vehicle by unmanned driving; a command transmission unit that controls transmission of the running command to the vehicle; a stopping detection unit that detects that the vehicle has been stopped at an assembly position where a part is assembled onto the vehicle; and a stopping unit that performs at least one of a process of stopping the generation of the running command by the command generation unit, a process of stopping the transmission of the running command by the command transmission unit, and a process of transmitting to the vehicle a deactivation command that disables the running command, when it is detected that the vehicle has been stopped at the assembly position.

A cross-platform automated vehicle communication and operational control system. The communication system may use a dual communication system that facilitates spaced vehicle operations that transition into interactive machine activities. This communication system uses remote communications to coordinate multiple vehicles, establish missions, conduct remote oversight and track a vehicle fleet. The system's dual communication also includes direct vehicle-to-vehicle communications to manage direct interactions without delay. The operational control system establishes a machine profile and mission planning system for multi-machine project control across platforms.

A method of guiding an autonomous guided vehicle (AGV) includes determine, by one or more processors of the AGV, that a first work operation performed at a first assembly station on a work-in-progress (WIP) piece coupled to the AGV has been completed; responsive to determining that the first work operation has been completed, switching, by the one or more processors, the AGV into an autonomy mode; navigating, by the one or more processors, the AGV to a second assembly station; determining, by the one or more processors, that the AGV has arrived at the second assembly station; adjusting, by the one or more processors, the WIP piece to facilitate a second work operation to be performed at the second assembly station; and switching, by the one or more processors, the AGV from the autonomy mode into a standby mode while the second work operation is performed on the WIP piece.

A mobile internet of things (IoT) unit for cleaning grease vents, herein referred to as the unit, is disclosed. The unit is comprised of the following parts: a mobile platform with magnetic tracks; a mobile device software application (app); cleaning attachments such as power washers and lasers, sensors such as conductivity meters (to measure buildup), air temperature, velocity and pressure; recording devices such as digital still and streaming cameras; a microcontroller with wireless communications; onboard lighting and a rechargeable battery. Additional details regarding the unit are examined further in this disclosure.

A robotic work tool system comprising at least one robotic work tool arranged to operate in a work area, the robotic work tool comprising at least one sensor and a communication interface, the robotic work tool being configured to establish a connection to a cloud service through said communication interface; receive data gathered by the at least one sensor and transmit the gathered data to the cloud service causing the cloud service to analyze the gathered data; receive operating data from the cloud service; and to operate at least one robotic work tool based on the operating data received from the cloud service.

Provided are an agent management system and method capable of calculating, in real time, a route plan for efficiently moving a large number of agents. This agent management system is characterized by comprising agents that can move within a management area, and local calculation units that determine movement routes for moving the agents from initial positions to target positions, wherein the management area is divided into a plurality of control areas, and wherein each local calculation unit is provided for a respective control area, determines a movement route for the agents within the control area, and assigns the movement route to these agents.