An operation system performs autonomous operation by using an operation server for an autonomous driving vehicle. The operation server includes a memory unit containing three-dimensional map data. An autonomous driving vehicle connects to the operation server via a wireless network. A vehicle control unit creates a traveling route based on the map data received and, when an elevator of a building is to be used, creates elevator usage information and elevator control information, including the boarding and exiting floors. The elevator is equipped with an elevator control unit that is connected to the operation server to control ascending and descending of an elevator cage. A control unit of the autonomous driving vehicle transmits the elevator usage information and the elevator control information to the elevator control unit. The elevator control unit gives a voice announcement from a voice output unit in the elevator cage.

A robot includes: a communication interface, a memory, and a processor configured to: transmit identification information and state information of the robot to an external server; based on receiving, from the external server, first information including identification information, type information and state information of at least one other robot, store the first information in the memory, based on identifying that an error occurred in communication with the external server, determine whether the robot is to operate as a master robot by comparing the type information and the state information of the at least one other device with type information and first state information of the robot; based on the robot operating as the master robot, plan a movement route of the at least one other robot based on task information of the at least one other robot, and transmit he planned movement route to the at least one other robot.

A system and a method for an autonomous mobile robot to ride and co-share an elevator with human(s) are disclosure. The core software modules and method proposed include a human detection and localization module, a human identification and state estimation module, a human-robot-interaction module, and an elevator confined space positioning module. Upon an elevator riding task is started, the human detection and localization module and the human identification and state estimation module detect and count the at least one human inside and/or outside the elevator, and the human-robot-interaction module interacts with the at least one human. The elevator confined space positioning module carries out a space positioning inside the elevator according to a result of detecting and counting the at least one human through the human detection and localization module and the human identification and state estimation module, and chooses to enter the elevator or restart another elevator riding task.

An autonomous mobile object control method according to the present disclosure is an autonomous mobile object control method for controlling a driving unit that causes a body to move, the autonomous mobile object control method including: a first step of determining an approach route that is a route to be followed by the autonomous mobile object to a starting point outside an elevator, and of moving the body by controlling the driving unit based on the approach route; and a second step of determining a boarding route that is a route to be followed by the autonomous mobile object from the starting point to an end point inside the elevator, and of moving the body by controlling the driving unit based on the boarding route.

A method for controlling robots and facilities is performed by one or more processors and includes controlling a first robot to move to a waiting area of a target space, acquiring information that the first robot is located in the waiting area of the target space, determining whether there is a robot in the target space, controlling, in response to determining that there is no robot in the target space, a door of the target space to be opened, controlling, in response to determining that the door is open, the first robot to leave the waiting area and enter the target space, and controlling the first robot to provide a serving service in target space.

An interaction method for a mobile robot comprises: acquiring map data information of a space in which a mobile robot is located, and acquiring real-time environment perception data collected by an environment perception sensor, the real-time environment perception data comprising real-time obstacle information, and real-time indication information for indicating a road condition around the mobile robot; acquiring target traveling path information of the mobile robot on the basis of the real-time obstacle information and the map data information, and determining a ground projection region according to the target traveling path information and the real-time indication information; acquiring a pattern to be projected, and determining a projection parameter corresponding to said pattern, wherein said pattern is used for indicating a traveling intention of the mobile robot; and controlling a projection apparatus according to the projection parameter, so as to project said pattern onto the ground projection region.

A method of providing trajectory planning for the driverless transfer of a vehicle within a closed area is proposed. In the method, an external data processing system performs trajectory planning for travelling a predetermined route from a starting point to a destination point within the closed area without a driver. Trajectory planning is based on data transmitted from components of a vehicle-external infrastructure to the external data processing system, including object data and at least one exact pose of the vehicle at predetermined points in time. The planned trajectory is then transmitted to the vehicle for execution.

A control system that is configured to control a system including a mobile robot configured to autonomously move and a plurality of cameras installed in a facility includes one or more processors. The one or more processors are configured to execute a decision process of deciding a camera to be used with at least one of a predetermined usage condition and a predetermined usage load from among the cameras in accordance with a scheduled traveling route of the mobile robot.

In order to achieve the purpose, a robotic cleaner according to an aspect of the present disclosure includes: a traveling unit for moving a body in a traveling region; a distance measuring sensor for acquiring distance sensing information about a distance to an object outside the body; and a control unit which generates a grid map about the traveling region from the distance sensing information, performs, when dividing the traveling region into a plurality of sub-areas, ray casting on a plurality of traveling nodes on a path of the grid map with respect to each sub-area to search for an open space, and sets an open node for the open space to calculate a topology graph between the traveling nodes and the open node. Therefore, efficiency can be improved by minimizing unnecessary traveling when traveling for searching for a space in which additional traveling is required. Furthermore, avoidance traveling can be reduced by setting the cleaner to travel along the center of a passage during additional search traveling.

Disclosed is an autonomous mobile service robot system for recognizing an automatic door and, in more detail, an autonomous mobile service robot system for recognizing an automatic door, the autonomous mobile service robot system enabling an autonomous mobile service robot to recognize an automatic door during moving, pass through the automatic door without an error in determination, and autonomously drive safely and stably for services by recognizing and defining information about an automatic door in simultaneously localization map-building (SLAM) of an autonomous mobile service robot that is operated for multiple purposes so that an accurate map considering location information of the automatic door is built.