The disclosure relates to a moving apparatus for cleaning, a collaborative cleaning system, and a method of controlling the same, the moving apparatus for cleaning including: a cleaner configured to perform cleaning; a traveler configured to move the moving apparatus; a communicator configured to communicate with an external apparatus; and a processor configured to identify an individual cleaning region corresponding to the moving apparatus among a plurality of individual cleaning regions assigned to the moving apparatus and at least one different moving apparatus based on current locations throughout a whole cleaning region, based on information received through the communicator, and control the traveler and the cleaner to travel and clean the identified individual cleaning region. Thus, the individual cleaning regions are assigned based on the location information about the plurality of cleaning robots, and a collaborative clean is efficiently carried out with a total shortened cleaning time.

Systems and methods for autonomous provision replenishment are disclosed. Parts used in a manufacturing process are stored in an intermediate stock queue. When the parts are consumed by the manufacturing process and the number of parts in the queue falls below a threshold, a provision-replenishment signal is generated. One or more self-driving material-transport vehicles, a fleet-management system, and a provision-notification device.

A system includes an article supply location, wherein the article supply location includes a plurality of articles to be sorted, first and second transport vehicles, each having a first position in which an article is stowed about the vehicle and a second position in which the article is deposited into a proximal container. And a control system. The control system is configured to receive an order for a plurality of disparate articles, determine one destination container of a plurality of destination containers to direct the transport vehicle to deposit a selected article, direct the first transport vehicle to transport a selected article to the destination container and deposit the article by manipulation of the first transport vehicle from the first position to the second position for deposit of the selected article in the destination container.

A computer-implemented method of managing a fleet of autonomous vehicles is provided. The method comprises receiving at least one request for a passenger journey from a client device associated with a passenger and allocating an autonomous vehicle to the passenger from the fleet. Confirmation that the autonomous vehicle has reached the passenger is then received and one or more vehicle status signals are received from the autonomous vehicle. Subsequently, the autonomous vehicle is authorised to proceed with the passenger journey in dependence on the vehicle status signals.

An information technology system for a distributed manufacturing network includes an additive manufacturing platform configured to manage workflows for a set of distributed manufacturing network entities associated with the distributed manufacturing network. The information technology system includes a set of digital twins generated by the additive manufacturing platform. The information technology system includes an artificial intelligence system configured to be executed by a data processing system in communication with the additive manufacturing platform. The artificial intelligence system is trained to generate process parameters for the workflows managed by the additive manufacturing platform using data collected from the set of distributed manufacturing network entities. The information technology system includes a control system configured to adjust the process parameters during an additive manufacturing process performed by at least one of the set of distributed manufacturing network entities.

Systems and methods for managing speed thresholds for a fleet of vehicles are disclosed. Input is used to provide associations between particular weather-relation conditions (such as rain) and arithmetic operations, that may be used to determine a current speed threshold as a function of a local posted speed limit at the current location of a vehicle. The current speed threshold is subsequently used to detect whether vehicles are exceeding the current speed threshold.

A system includes an article supply location, wherein the article supply location includes a plurality of articles to be sorted, first and second transport vehicles, each having a first position in which an article is stowed about the vehicle and a second position in which the article is deposited into a proximal container. And a control system. The control system is configured to receive an order for a plurality of disparate articles, determine one destination container of a plurality of destination containers to direct the transport vehicle to deposit a selected article, direct the first transport vehicle to transport a selected article to the destination container and deposit the article by manipulation of the first transport vehicle from the first position to the second position for deposit of the selected article in the destination container.

A work management system for managing work to be performed on a work subject. The work management system includes multiple work robots, a storage unit, a generator, and an instruction unit. The work robots each include movement means capable of moving to any location. The storage unit stores target information on a target state of the work subject and current state information on a current state of the work subject. The generator generates work procedure information indicating a work procedure to be performed by the work robots so that the work subject is brought close to the target state, on the basis of the target information and the current state information. The work procedure information includes work instruction information for instructing the work robots to perform one or more types of work to be performed on the work subject.

An unmanned vehicle control method for setting a permitted area where traveling is permitted for each unmanned vehicle, the unmanned vehicle control method includes: acquiring unmanned vehicle data including position data of the unmanned vehicle; acquiring road surface condition data of a travel path on which the unmanned vehicle travels; and generating data including a permitted area in the travel path of the unmanned vehicle, a stop point in the permitted area, and a target traveling speed for the unmanned vehicle to stop at the stop point on a basis of the unmanned vehicle data that has been acquired, wherein the permitted area is set on a basis of the road surface condition data of a predetermined area including the stop point.

A delivery system in which the vehicles themselves coordinate their movements. Vehicles are assigned to groups based on proximity. Each vehicle communicates its location and route information to the other vehicles in the group. The vehicles in the group then know the positions and routes of the other vehicles in the group. When a delivery is requested, the vehicles in the group use this information to determine which vehicle should be assigned to make that delivery. As the vehicles move around, their proximity to each other changes. When a vehicle has moved away from a group, that vehicle may be removed from the group and assigned to a different group. In this manner, the vehicle coordination mechanism is a distributed task performed by all the vehicles.