An unmanned vehicle control method includes acquiring a delivery request for an item, the delivery request comprising delivery information of the item, and determining, according to the delivery information, predicted travelling data associated with delivering the item and at least one of network coverage or network connection quality associated with the predicted travelling data. The method further includes allocating network resources according to the at least one of the network coverage or the network connection quality of the predicted travelling data, and generating a remote driving control instruction according to the predicted travelling data. The method further includes transmitting the remote driving control instruction to an unmanned vehicle using the allocated network resources, so as to cause the unmanned vehicle to drive based on the remote driving control instruction, the unmanned vehicle being configured to transport the item.

In some embodiments, methods and systems are provided that provide for facilitating delivery, via autonomous ground vehicles, of products ordered by customers of a retailer to customer-specified restricted areas accessible by an entryway openable via an access code.

Autonomous carriers or totes that include vacuum units are provided. As the totes move or are moved through a warehouse carrying products, they collect debris. The debris can be analyzed at the tote, and actions can be performed based upon the analysis.

A method for localizing a vehicle comprises transmitting first position data related to a first position of the vehicle at a first point in time from the vehicle to a server. The server computes second position data related to the first position of the vehicle at the first point in time based on the received first position data. The server transmits the second position data from the server to the vehicle. The vehicle computes third position data related to a second position of the vehicle at a second point in time based on the received second position data. The second point in time is later than the first point in time.

Provided is a method for controlling a robot cleaner including a first operation of identifying that a manual cleaner and the robot cleaner are turned on, a second operation of identifying, by the robot cleaner, a location of the manual cleaner, a third operation of separating cleaning regions for performing cleaning therein from each other, and a fourth operation of starting, by the robot cleaner, cleaning of a corresponding region after the manual cleaner completes cleaning of the corresponding region.

The present invention makes an instruction for causing a transport robot to carry out transport easier for a person to understand. A transport system (1) is such that an address indicating a transport destination or a transport source is represented by a tree structure including a node indicating loading locations and a node indicating equipment to which the loading locations are provided, and when the address of the transport destination indicates equipment, a transport robot (20) sequentially loads objects to be transported in accordance with a preset loading priority order in loading locations where no objects to be transported have been loaded, from among the loading locations belonging to that equipment.

The present document relates to a simulation method for an autonomous vehicle, a method for controlling the autonomous vehicle, a device, an electronic apparatus, a computer-readable storage medium, and a computer program product. The method for the simulation of the autonomous vehicle comprises acquiring current state information of the autonomous vehicle; performing the simulation based on the current state information to acquire the prediction information of the autonomous vehicle; and sending the prediction information to the autonomous vehicle.

An artificial intelligence (AI) robot includes a body for defining an exterior appearance and containing a medicine to be discharged according to a medication schedule, a support, an image capture unit for capturing an image within a traveling zone to create image information, and a controller for discharging the medicine to a user according to the medication schedule, reading image data of the user to determine whether the user has taken the medicine, and reading image data and biometric data of the user after the medicine-taking to determine whether there is abnormality in the user. The AI robot identifies a user and discharges a medicine matched with the user, so as to prevent errors. The AI robot detects a user's reaction after medicine-taking through a sensor, and performs deep learning, etc. to learn the user's reaction, to determine an emergency situation, etc. and cope with a result of the determination.

A robot assembly for safe operation in a manufacturing setting with humans including a sensor for detecting a human location and human movement is provided. A safety control module providing a boundary of a safety zone area that is associated with the human in a task oriented state that includes a largest possible area in which the human or an associated work object can extend when the human is standing in one location and performing the work task. The human movement and safety zone area location being used to develop a capture set area that includes at least one predictive future safety zone area location. Using the at least one predicted future safety zone area, establishing a travel path for moving the robot between locations without overlapping the capture set area.

A method for the optimized use of a parking area. Vehicles which are to be parked on the parking area are each assigned a parking space, the vehicles navigating to the respective assigned parking space, in particular autonomously. Furthermore, vehicles may carry out a change of the parking space in order to enable an improved use of the available parking area or a faster availability of the vehicle, whereby overall an optimized use of the parking area is achieved. Initially, an available range of the respective vehicles is ascertained, and the assignment of the respective parking space and/or a possible change of the parking space are made dependent on the available range of the individual vehicles. The available range of a vehicle is in particular described by a residual fuel amount or a charge state of the vehicle.